# FewerJobs export - 100 curated jobs
Generated: 2026-11-15T01:31:58.473Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Deepgram
- **quality_floor**: default
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **apply_url_verified**: false
- **page**: 2
- **per_page**: 100
- **sort**: relevance

## Jobs
### Research Engineer / Research Scientist (Post-training) - Ideogram
- Location: Toronto, Ontario, Canada, New York (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Apply: https://jobs.ashbyhq.com/ideogram/5b79fca0-3f2b-4265-9e40-7daffb47dbb4
- Excerpt: Research Engineer / Research Scientist (Post-training) Toronto, Ontario, Canada, New York About Ideogram Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google's Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love. We've raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 4.0 , Enterprise , API , Open Source , Character and Custom Models blog posts, and try Ideogram at ideogram.ai . The Opportunity In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy. What We're Looking For - 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow. - Experience in implementing Machine Learning foundations (

### Senior Deep Learning Compiler Engineer - NVIDIA Corporation
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Compiler-Engineer_JR2016814
- Excerpt: Senior Deep Learning Compiler Engineer 6 Locations posted: Posted 30+ Days Ago

### Computer Vision and Machine Learning Engineer, Creativity Apps - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-05-26
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200661630/computer-vision-and-machine-learning-engineer-creativity-apps?team=SFTWR
- Excerpt: Computer Vision and Machine Learning Engineer, Creativity Apps Cupertino, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. As a Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Build state-of-the-art machine learning models to power application features. Collect model training data, design model architectures, and train custom models suited for application features. Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators. Drive application features from concept, model design, development and all the way to delivery. Minimum Qualifications: MS Computer Science, Machine Learning or related field, and 2+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. Knowledge in theory and practice of computer vision, machine learning and deep learning techniques. Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning,

### Machine Learning Engineer - Zoom Communications, Inc.
- Location: Seattle (WA) (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/Machine-Learning-Engineer_R19190
- Excerpt: Machine Learning Engineer Seattle (WA) posted:

### Machine Learning Engineer — Generative Models, Productivity Apps - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-05-22
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200662933/machine-learning-engineer-generative-models-productivity-apps?team=SFTWR
- Excerpt: Machine Learning Engineer — Generative Models, Productivity Apps Cupertino, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Productivity Apps team, the team behind apps like Notes, Freeform, and iWork needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. As a Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity! Join our research-oriented engineering team, and you'll build state-of-the-art generative models and applications, partner with cross-functional teams, and deliver end-to-end features to power the next-generation creative tools. The ideal candidate should have deep experience in generative modeling, care about long-term sustainable software development, and can drive features from concept all the way to delivery. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Design, train, and evaluate generative models (diffusion, transformers) for creative applications in productivity tools Develop novel model architectures and systems that generate structured visual and graphic design outputs suitable for professional creative workflows Partner with cross-functional teams (product, design, on-device ML) to deliver end-to-end features from research prototype to production Stay current with the research landscape, read and implement ideas from papers, and contribute publications at top venues Minimum Qualifications: MS + 2 years of industry

### Principal Deep Learning Communication Architect - NVIDIA Corporation
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Deep-Learning-Communication-Architect_JR2015200
- Excerpt: Principal Deep Learning Communication Architect 3 Locations posted: Posted 30+ Days Ago

### Sr. Machine Learning Scientist, Siri Speech - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-03-26
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200653772/sr-machine-learning-scientist-siri-speech?team=MLAI
- Excerpt: Sr. Machine Learning Scientist, Siri Speech Cupertino, United States of America The Speech Team within the Siri organization drives major speech recognition, synthesis and speech to speech model changes for various features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation and various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding, dialog generation, speech recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users. We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale. We develop speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apple's software, hardware, and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs, while improving speech interaction experiences for Apple's customers around the world. You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models- ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You'll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly

### Deep Learning Algorithms Engineer - ACOT - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Vietnam-Ho-Chi-Minh-City/Deep-Learning-Algorithms-Engineer---ACOT_JR2015256
- Excerpt: Deep Learning Algorithms Engineer - ACOT 2 Locations posted: Posted 30+ Days Ago

### Sr. Semantics Computer Vision Research - Dolby Laboratories
- Location: Bangalore,India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://dolby.eightfold.ai/careers/job/22201721
- Excerpt: Sr. Semantics Computer Vision Research Bangalore,India

### Machine Learning Engineer - Speech & Multimodal Language Modeling - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-04-22
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200659167/machine-learning-engineer-speech-multimodal-language-modeling?team=MLAI
- Excerpt: Machine Learning Engineer - Speech & Multimodal Language Modeling Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel user-facing features that leverage the multimodal capabilities of state-of-the-art foundation language models. We are looking for a highly skilled Machine Learning Engineer to build and evaluate these experiences, with a specific focus on Multimodal and Speech Language Models. A successful candidate is experienced in evaluating complex foundation model-driven systems end-to-end, translating subjective product requirements into objective criteria, has strong statistical analysis skills, and has worked with Speech Language Models. Design and implement processes for evaluating and improving multi-modal generative models to meet end-to-end product requirements. Work with Data Engineers to process large scale speech audio data for foundation model training Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Experimental design for testing models/systems under test Conduct robust statistical analysis to identify

### Senior Deep Learning Communication Architect - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Communication-Architect_JR1997852-1
- Excerpt: Senior Deep Learning Communication Architect 2 Locations posted: Posted 23 Days Ago

### Machine Learning Engineer - Mercado Libre
- Location: Bogotá,Colombia (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://mercadolibre.eightfold.ai/careers/job/42257187
- Excerpt: Machine Learning Engineer Bogotá,Colombia

### Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-04-10
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200655756/machine-learning-engineer-proactive-large-language-models-generative-ai-inference?team=MLAI
- Excerpt: Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these models and continue the development of our inference stack. By contributing to our team, you'll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform. As a Machine Learning Engineer on the Apple Intelligence Platform Inference Tean, you'll join a phenomenal team of top-performing engineers and and will be entrusted with a range of responsibilities. Your tasks will include: Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. Translating the latest research into high-performing systems and a model serving stack that can be practically applied to enhance user experiences. Contribute

### Machine Learning Engineer - 5 - Adobe Inc.
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1
- Excerpt: Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago

### Solution Architect - Language/Translation - DeepL
- Location: Austin, Texas, United States, New York, San Francisco (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-21
- Mental health support: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/deepl/abdf8ce2-e247-4d2a-8ce8-d1ab49546449
- Excerpt: Solution Architect - Language/Translation Austin, Texas, United States, New York, San Francisco Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure

### Sr. Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness) - Mitek Systems Inc
- Location: Spain (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-14
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.lever.co/miteksystems-2/17bcb789-f69b-4f08-bcdd-3a0f1d2f0a15
- Excerpt: Sr. Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness) Spain About Mitek Mitek (NASDAQ: MITK) is a global leader in digital identity verification, biometric authentication, and fraud prevention. Our AI-powered platform combines computer vision, biometrics, and machine learning to help organizations securely onboard users and defend against emerging threats such as deepfakes and AI-driven fraud. Trusted by over 7,500 organizations worldwide, Mitek processes millions of identity transactions daily. Headquartered in San Diego, with a strong presence across Spain, France, Mexico, and the UK and the Netherlands. Visit us at www.miteksystems.com.we are driven by a clear mission: protect what's real. At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​ ​ We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients. We are a Virtual First organization that values flexibility, collaboration, and innovation, while fostering an inclusive environment where diverse perspectives drive better outcomes. Why Join This Team Work on AI that fights AI-driven fraud Why Join This Team Work on

### NLP Engineer - Point72 Asset Management
- Location: New York (unspecified)
- Salary: Not disclosed
- Posted: 2025-01-23
- Apply: https://boards.greenhouse.io/point72/jobs/7825077002?gh_jid=7825077002
- Excerpt: NLP Engineer New York DESCRIPTION We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact. RESPONSIBILITIES - Build start-of-the-art deep learning models to process large scale unstructured datasets. - Engage with vendors to understand characteristics of datasets. - Analyze datasets to generate descriptive statistics and propose potential applications of data. - Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers. - Research new technologies for efficient data management and data retrieval. REQUIREMENTS - PhD or Master's degree in computer science, data science, statistics or other quantitative discipline. Bachelor's degree with extensive relevant work experience will also be considered. - At least 3 years of experience in NLP, computer vision, speech, or a related field. - Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch). - In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training. - Excellent coding skills in Python. - Programming skills in SQL. - Experience working with large data sets. - Strong oral and written communication skills. - Strong team player. - Financial industry experience preferred but not required. - Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred. - Commitment to the highest ethical standards.

### Senior/Staff Machine Learning Engineer - Vestiaire Collective
- Location: Paris (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.lever.co/vestiairecollective/6bf15ddc-4fe9-4738-875b-98cce21d6715
- Excerpt: Senior/Staff Machine Learning Engineer Paris Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion. Our mission is simple: make circular fashion the norm, not the exception. Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way. Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US. Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry. Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and

### Research Engineer / Research Scientist (Pre-training) - Ideogram
- Location: Toronto, Ontario, Canada, New York (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Apply: https://jobs.ashbyhq.com/ideogram/d2131545-4215-42db-9d3b-718740dd6d76
- Excerpt: Research Engineer / Research Scientist (Pre-training) Toronto, Ontario, Canada, New York About Ideogram Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google's Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love. We've raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 4.0 , Enterprise , API , Open Source , Character and Custom Models blog posts, and try Ideogram at ideogram.ai . The Opportunity In this role, you'll push the frontier of visual generative models. You'll work on large-scale pre-training for our text-to-image foundation models, shaping objectives, algorithms, data, and systems, and turn novel ideas into models that power products used by millions of users. You'll work with a creative and ambitious team of researchers and engineers who are building the future of the creative economy. What We're Looking For - PhD or Master's degree in Computer Science or equivalent industry experience. - 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use.

### Machine Learning Engineer II - Toronto-Dominion Bank
- Location: 661 University Avenue, Toronto, Ontario (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://td.wd3.myworkdayjobs.com/TD_Bank_Careers/job/661-University-Avenue-Toronto-Ontario/Machine-Learning-Engineer-II_R_1476583
- Excerpt: Machine Learning Engineer II 661 University Avenue, Toronto, Ontario posted: Posted 30+ Days Ago

### Senior Deep Learning Engineering - Autonomous Vehicles - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Engineering---Autonomous-Vehicles_JR2017915
- Excerpt: Senior Deep Learning Engineering - Autonomous Vehicles 2 Locations posted: Posted 29 Days Ago

### Senior Machine Learning Engineer - Amgen
- Location: United States - Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361
- Excerpt: Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago

### Machine Learning Engineer - Trimble Inc.
- Location: Germany - Munich (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://trimble.wd1.myworkdayjobs.com/TrimbleCareers/job/Germany---Munich/Machine-Learning-Engineer_R55834
- Excerpt: Machine Learning Engineer Germany - Munich posted: Posted 30+ Days Ago

### Pretraining codebase SWE, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUr5aWfyvRuIa3BkLBukinjE5K_zx2786lF4ZWi2LsrBEjsACxwdTJp25kxFL83SUCSnqDGxnWaInfQnTgaioCynqOXM3Plx6GI6N6RpwERf8CT0CFwe18iOdnGmpQ%3D%3D_V2&loc=US&title=Pretraining+codebase+SWE
- Excerpt: Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day

### Senior Machine Learning Research Engineer - David AI
- Location: San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Apply: https://jobs.ashbyhq.com/david-ai/76754f39-fb37-4d28-a15c-e8aecd257544
- Excerpt: Senior Machine Learning Research Engineer San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Machine Learning team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About this role As a ML Research Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems

### Sr. Machine Learning Engineer, Siri Speech - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-05-08
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200662258/sr-machine-learning-engineer-siri-speech?team=MLAI
- Excerpt: Sr. Machine Learning Engineer, Siri Speech Cupertino, United States of America We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! Design, train, and evaluate machine learning models for production use cases Build and maintain scalable ML pipelines (data ingestion, feature engineering, training, evaluation, serving) Collaborate with data scientists to translate research prototypes into robust, production-grade systems Monitor deployed models for performance degradation and data drift Optimize models for latency, throughput, and resource efficiency Contribute to ML infrastructure, tooling, and best practices Minimum Qualifications: MSc in Computer Science, Machine Learning, Statistics, or a related field Proven experience in machine learning or a related engineering role Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX) Experience with the full ML lifecycle: data processing, training, evaluation, deployment Familiarity with distributed training and large-scale data pipelines Solid understanding of

### Senior Machine Learning Engineer - RTB House
- Location: Warsaw, Masovian Voivodeship, Poland (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/rtbhouse/jobs/4781140101
- Excerpt: Senior Machine Learning Engineer Warsaw, Masovian Voivodeship, Poland Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. C1 level in Polish Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience

### Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679
- Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

### Keyboard Data Collection Project - Mindy
- Location: Remote (Worldwide USA) (remote)
- Salary: Not disclosed
- Posted: 2026-03-12
- Apply: https://jobs.lever.co/mindy/e85ddd99-1cb4-440a-882f-eb663c896e34
- Excerpt: Keyboard Data Collection Project Remote (Worldwide USA) Earn $60 for a 1- 1.5 Hour Smartphone Typing Study Helping Train AI Models for Leading Tech Company Help Shape the Future of Mobile Technology Company: Leading US big tech company Location: Remote (US-based participants) Compensation:$60+ USD upon successful completion Time Commitment: Ongoing Who We're Looking For We are inviting smartphone users to participate in a paid research study focused on improving next-generation keyboard autocorrect, predictive text, and gesture-typing technologies. If you use your iPhone regularly and enjoy contributing to innovative technology projects, we'd love to hear from you. Available Language Profiles We are currently recruiting participants for the following language groups: English Chinese Japanese English + Spanish (Latin America) English + Spanish (Mexico) English + Italian Arabic Portuguese (Brazil) Russian French German Italian Korean Thai Turkish What You'll Do Using a secure mobile application, you will: ✅ Type 100 text prompts exactly as displayed ✅ Complete both standard typing and swipe-typing tasks ✅ Follow a designated typing style (one hand, two thumbs, or index finger) ✅ Contribute valuable data that helps improve mobile typing experiences worldwide No special skills are required - just accuracy and attention to detail. Eligible Devices To participate, you must own one of the following iPhones running the latest iOS version: iPhone 15 Family (iPhone 15, 15 Pro, 15 Pro Max) iPhone 16 Family (iPhone 16, 16 Pro, 16 Pro Max) iPhone 17 Family (Highest Priority: iPhone 17, iPhone 17 Pro, iPhone 17 Pro Max, iPhone 17e, iPhone

### Machine Learning Engineer, Camera & Photos - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$221K
- Posted: 2025-09-29
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200622883/machine-learning-engineer-camera-photos?team=SFTWR
- Excerpt: Machine Learning Engineer, Camera & Photos Cupertino, United States of America Do you have a passion for building the best photos app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Artificial Intelligence (AI) and Machine Learning (ML) technologies to ship Photos features and emotional experiences to hundreds of millions of users worldwide. We are looking for a Machine Learning Engineer to join our team and be a part of this mission. In this role, you will be working on applications of generative AI models and algorithms for Apple Intelligence features. Candidates should have a proven track record that demonstrates a deep understanding of AI and ML algorithms, a passion for designing and developing high-quality software, strong collaboration, and excellent interpersonal skills. Minimum Qualifications: Solid foundation in machine learning and deep learning principles Hands on experience with large language models (LLMs), prompt optimization, and fine tuning of LLMs Strong programming and software engineering experience in one or more of the following languages: Python, C, C++, Swift Bachelor's or Master's in Computer Science, Electrical Engineering, Applied Mathematics, or a related field Preferred Qualifications: Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems Experience with large vision-language and multi-modal foundation models

### Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $165K-$224K
- Posted: 2025-10-31
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3119465/machine-learning-compiler-engineer-aws-neuron-annapurna-labs
- Excerpt: Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented

### Machine Learning Engineer - Vision Products Software - Apple
- Location: Los Angeles, United States of America (unspecified)
- Salary: $172K-$302K
- Posted: 2026-03-31
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200643241/machine-learning-engineer-vision-products-software?team=MLAI
- Excerpt: Machine Learning Engineer - Vision Products Software Los Angeles, United States of America AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale. You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production. Design and implement ML models and algorithms for conversational understanding, generation, and personalization Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches Translate research ideas into production-ready systems, collaborating across teams to ensure smooth

### Machine Learning Engineer, Voice - Speak
- Location: San Francisco | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/speak/e78edff4-5135-4c68-932d-e449ee460ea3
- Excerpt: Machine Learning Engineer, Voice San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models

### Machine Learning Engineer - 3 - Adobe Inc.
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Software-Development-Engineer_R165002-1
- Excerpt: Machine Learning Engineer - 3 Bangalore posted: Posted 30+ Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868
- Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

### Machine Learning Engineer, Siri Attention & Invocation - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$221K
- Posted: 2026-04-16
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200627828/machine-learning-engineer-siri-attention-invocation?team=MLAI
- Excerpt: Machine Learning Engineer, Siri Attention & Invocation Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. “Hey Siri, let's work together at Apple!" The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about developing and advancing frictionless voice invocation experiences on Apple's innovative devices, enabling compelling new conversational features for Siri interactions. Build end-to-end model training and evaluation pipelines. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done - just by saying '(Hey) Siri.' You will be part of a team whose focus will be on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is

### Machine Learning Engineer - Interdigital Inc
- Location: UK_London2 (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://interdigital.wd5.myworkdayjobs.com/InterDigital_Career/job/UK_London2/Machine-Learning-Engineer_REQ25-1060
- Excerpt: Machine Learning Engineer UK_London2 posted: Posted 30+ Days Ago

### Machine Learning Engineer II - Core AI/ML - Remitly Global INC
- Location: Burnaby, British Columbia, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://remitly.wd5.myworkdayjobs.com/Remitly_Careers/job/Burnaby-British-Columbia-Canada/Data-Scientist-II---Core-AI-ML_R_105708
- Excerpt: Machine Learning Engineer II - Core AI/ML Burnaby, British Columbia, Canada Burnaby, British Columbia, Canada

### Research Intern - Computer Vision and Deep Learning - Microsoft
- Location: Redmond, WA, US (unspecified)
- Salary: Not disclosed
- Posted: 2025-11-19
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556621779
- Excerpt: Research Intern - Computer Vision and Deep Learning Redmond, WA, US

### Machine Learning Engineer - Huron Consulting Group Inc
- Location: Belfast - 20 Adelaide Street (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://huron.wd1.myworkdayjobs.com/huroncareers/job/Belfast---20-Adelaide-Street/Machine-Learning-Engineer_JR-0013617
- Excerpt: Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

### Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML) - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$221K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200666537/software-engineer-in-natural-language-processing-nlp-and-machine-learning-ml?team=MLAI
- Excerpt: Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML) Cupertino, United States of America Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms. Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for

### Senior Machine Learning Engineer - Paylocity
- Location: Remote, US (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://2000recruiting.paylocity.com/recruiting/jobs/Apply/42129/Paylocity/Senior-Machine-Learning-Engineer
- Excerpt: Senior Machine Learning Engineer Remote, US Senior Machine Learning Engineer

### Staff ML Engineer, Fine Tuning - Slack - Salesforce
- Location: Washington - Seattle; Georgia - Atlanta; California - San Francisco (unspecified)
- Salary: $238K-$345K
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr344115/staff-ml-engineer-fine-tuning-slack/
- Excerpt: Staff ML Engineer, Fine Tuning - Slack Washington - Seattle; Georgia - Atlanta; California - San Francisco *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES* Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product experiences - from summarization and search ranking to generative AI features used by millions daily. This role is hands-on: you'll work at a low level with training frameworks, optimize model architectures, build finetuning pipelines, and own the full lifecycle from experiment to production. At Slack, that impact can be huge: We have over 10 million daily active users relying on our product. At peak usage, a million messages a minute pass through Slack. During the week, our users spend over a billion minutes a day active in our product. Machine learning engineers at Slack ship models that serve millions of users daily. This role owns that end-to-end: finetuning models for Slack's NLP tasks and putting them into production with the rigor and reliability our users expect. We're not looking for someone who hands off a checkpoint - we want someone who sees it through to serving traffic. Broader ML skills - data pipelines, experimentation, feature engineering - are valuable here too, but deep training and productionization expertise is the core of this role. This is a practical machine learning team, not a research team. Our

### Sr. Machine Learning Engineer- Support - Kenvue
- Location: Asia Pacific, India, Karnataka, Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://kenvue.wd5.myworkdayjobs.com/kenvue/job/Asia-Pacific-India-Karnataka-Bangalore/Sr-Machine-Learning-Engineer_2607042402W
- Excerpt: Sr. Machine Learning Engineer- Support Asia Pacific, India, Karnataka, Bangalore posted: Posted 30+ Days Ago

### Senior Deep Learning Framework Communications Engineer - NVIDIA Corporation
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-28
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Framework-Communications-Engineer_JR2011908
- Excerpt: Senior Deep Learning Framework Communications Engineer 5 Locations posted: Posted 15 Days Ago

### AI Lab - Junior Machine Learning Engineer - Hewlett-Packard
- Location: Sant Cugat del Valles, Barcelona, Spain (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://hp.eightfold.ai/careers/job/28359544
- Excerpt: AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

### Video Codec Machine Learning Engineer, Audio & Media Technologies - Apple
- Location: San Diego, United States of America (unspecified)
- Salary: $140K-$258K
- Posted: 2026-04-28
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200660335/video-codec-machine-learning-engineer-audio-media-technologies?team=SFTWR
- Excerpt: Video Codec Machine Learning Engineer, Audio & Media Technologies San Diego, United States of America Imagine the possibilities that await you here! At Apple, bold ideas rapidly transform into groundbreaking products, services, and customer experiences that shape the world. Are you someone who brings passion, dedication, and a drive to push boundaries? If so, we want to hear from you. We are seeking exceptional talent to join us in defining the future of video. Our team is at the forefront of crafting the next generation video codec that will redefine the industry landscape and set new standards for how the world experiences video. This is your opportunity to make a lasting impact on both Apple's ecosystem and the broader industry as a whole. Driven by this mission, our team develops cutting-edge video coding, processing, machine learning, and systems engineering technologies that power intelligent and immersive video experiences across Apple's iconic products and platforms, including Photos, Camera, Spotlight, FaceTime, AirPlay, Sidecar, and Apple TV. You will collaborate with a team of highly driven and talented specialists, working together to turn visionary codec innovations into transformative technologies that reach and inspire millions of people every day. This position is ideal for a highly self-motivated and visionary individual with a deep passion for pushing the boundaries of video coding, machine learning, and AI-driven video technologies. Shaping the Future of Industry Standards: Spearheading efforts to contribute groundbreaking algorithms and ML-driven innovations to the next generation of video coding standards, positioning Apple at the forefront

### Deep Learning Performance Software Engineer - NVIDIA Corporation
- Location: China, Shanghai (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Performance-Software-Engineer_JR2018878
- Excerpt: Deep Learning Performance Software Engineer China, Shanghai posted: Posted 10 Days Ago

### Machine Learning Researcher, Multimodal LLMs - Bland AI
- Location: San Francisco (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/bland/681dfcda-f016-4bda-826e-7e813fae0083
- Excerpt: Machine Learning Researcher, Multimodal LLMs San Francisco MACHINE LEARNING RESEARCHER, MULTIMODAL LLMS Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com http://Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. We've raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. THE ROLE We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You'll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production. At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day. WHAT MAKES YOU A GREAT FIT Strong LLM / Multimodal Background - Experience with LLMs, multimodal models, or speech-language systems - Deep understanding of prompting, fine-tuning, and alignment techniques - Familiarity with neural audio codecs and modern multimodal LLM techniques Fast Experimental Loop - You can go from idea → dataset → experiment → conclusion in days - You

### ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2025-08-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3055108/ml-compiler-engineer-ii-neuron-kernel-interface-annapurna-labs
- Excerpt: ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing

### Associate Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678
- Excerpt: Associate Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

### Research Scientist - Audio Codec - Mirelo AI
- Location: Berlin, Germany, Tübingen, Hybrid (hybrid)
- Salary: Not disclosed
- Posted: 2025-12-03
- Apply: https://jobs.ashbyhq.com/mirelo/55090c78-9dee-4fa3-bf29-c06ad65c0f02
- Excerpt: Research Scientist - Audio Codec Berlin, Germany, Tübingen, Hybrid Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role At Mirelo, we're pushing the limits of what generative audio can do, and our ability to innovate depends heavily on the quality of our underlying audio representations. In this role, you'll work at the core of our modeling stack - designing, training, and evaluating neural audio codecs that directly shape the performance of our next-generation music and sound models. You'll collaborate closely with the model team, experiment with both continuous and discrete representations, and build the evaluation tools that help us understand what actually moves the needle. Your work will sit at the foundation of building the best-sounding generative models in the world. Key Responsibilities - Develop and implement new neural audio codecs for sound, music and speech that push the state-of-the art in sound quality and are optimized for the the use case of generative models. - Think about the specific challenges that arise when the codec is primarily used as a latent representation in the context

### On-Device Machine Learning Engineer - Apple
- Location: Sunnyvale, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-04-13
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200657024/on-device-machine-learning-engineer?team=MLAI
- Excerpt: On-Device Machine Learning Engineer Sunnyvale, United States of America We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. As part of the Video Computer Vision (VCV) team, you will deploy purpose-built vision models on Apple devices, developing innovative techniques to optimize their performance, efficiency, and scalability on-device. Convert and integrate foundation models for on-device deployment. Evaluate power and performance of models running on Apple devices. Optimize on-device inference latency and efficiency of CV/ML models. Minimum Qualifications: BS and a minimum of 10 years relevant industry experience. Strong knowledge of model compression techniques such as pruning, distillation, quantization and weight clustering. Solid understanding of operating system and extensive programming experience in Python and C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data

### Associate Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757
- Excerpt: Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167407
- Excerpt: Machine Learning Engineer San Jose posted: Posted 8 Days Ago

### Machine Learning Engineer - Express Scripts Canada - The Cigna Group
- Location: Mississauga, ON (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Mississauga-ON/Machine-Learning-Engineer---Express-Scripts-Canada_26003669-1
- Excerpt: Machine Learning Engineer - Express Scripts Canada Mississauga, ON posted: Posted 30+ Days Ago

### Senior Machine Learning Engineer - Expedia Group
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://expedia.wd108.myworkdayjobs.com/search/job/USA---California---San-Jose/Senior-Machine-Learning-Engineer_R-105618-1
- Excerpt: Senior Machine Learning Engineer 2 Locations posted: Posted Yesterday

### Principal Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900
- Excerpt: Principal Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Engineer, User & Content Intelligence - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $140K-$258K
- Posted: 2026-03-17
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200651949/machine-learning-engineer-user-content-intelligence?team=MLAI
- Excerpt: Machine Learning Engineer, User & Content Intelligence Seattle, United States of America Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. This is not a standard Data Engineering or ML role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content features regardless of where that data physically resides. Architect Distributed Feature Access: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. Engineer Large-Scale Feature Pipelines: Build robust, petabyte-scale pipelines that ingest and combine disparate data into coherent user profiles and rich content representations. Architect Training Data Systems: Transform raw

### CLOUD MACHINE LEARNING ENGINEER - Vodafone Group
- Location: Pune, Maharashtra, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://vodafone.eightfold.ai/careers/job/563018696416600
- Excerpt: CLOUD MACHINE LEARNING ENGINEER Pune, Maharashtra, India

### Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229
- Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Staff Specialist Machine Learning Engineering - Infineon Technologies
- Location: Ahmedabad (India) (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://infineon.eightfold.ai/careers/job/563808969077627
- Excerpt: Staff Specialist Machine Learning Engineering Ahmedabad (India)

### Applied LLM Research Engineer, Input Experience - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-03-11
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200650866/applied-llm-research-engineer-input-experience?team=SFTWR
- Excerpt: Applied LLM Research Engineer, Input Experience Cupertino, United States of America From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our work has been featured in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools, Summarization, Smart Reply as part of Apple Intelligence in 2024! Building on years of innovation in intelligent systems and on-device machine learning, we are now scaling efforts in bringing powerful foundation models directly into everyday workflows. We are looking for Applied LLM Research Engineer to innovate and develop technology that brings powerful foundation models directly into everyday user workflows, across languages, writing styles, and personal context, in a privacy-preserving way. You will build, run, and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the experimentation and iteration that makes the user experience feel magical. You will join an ambitious, collaborative team in a unique position to bridge the gap between cutting-edge ML research and features used by millions. You will work closely with cross-functional partners in human interfaces, user studies, internationalization, and system integration. You are not just developing technology; you are crafting experiences

### Senior Embedded Machine Learning Engineer (C++) - Scandit
- Location: Tampere (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-21
- Apply: https://www.scandit.com/careers/job-description/?gh_jid=7951108
- Excerpt: Senior Embedded Machine Learning Engineer (C++) Tampere Machine Learning Engineer (C++, Computer Vision) Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level. About the role We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art. If these challenges sound interesting to you, we'd love to hear from you! What you will do - Driving and solving semantic document parsing for our customer use cases - Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging) - Stay up to date with the latest research in document classification, text recognition and information extraction - Set direction and identify opportunities to push boundaries of recognition - Mentoring team members on code quality and engineering practices Who you are You are a senior engineer who

### Machine Learning Engineer - LLM - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$221K
- Posted: 2026-02-19
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200647138/machine-learning-engineer-llm?team=MLAI
- Excerpt: Machine Learning Engineer - LLM Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity, is exceptionally organized, relentlessly detail-oriented, and an exceptional communicator at all levels of the organization. Minimum Qualifications: 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Ability to travel internationally - up to 10% Preferred Qualifications: Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning. Experience applying ML techniques in manufacturing, testing, or hardware optimization. Proficiency in using cutting-edge GenAI tools, i.e. Claude

### Machine Learning Architect - Conversational Speech - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $257K-$386K
- Posted: 2026-05-13
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200653966/machine-learning-architect-conversational-speech?team=MLAI
- Excerpt: Machine Learning Architect - Conversational Speech Cupertino, United States of America The Speech organization within Siri drives major speech recognition, synthesis, and speech-to-speech model advances for features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users. We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full Speech organization. You will set the future modeling direction for all of conversational speech-charting the architectural and algorithmic course for how Apple's speech technologies evolve. You will operate as a hands-on expert who not only defines strategy but also digs into the hardest technical problems, working shoulder-to-shoulder with teams to overcome critical obstacles. Reporting directly to the Speech organization leadership, you will have broad visibility and influence across speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems, ensuring coherent technical vision and cross-team alignment. As the Machine Learning Architect for Conversational Speech, you will define modeling strategy and technical direction across the Speech organization, establishing a unified architectural vision for speech recognition, speech synthesis, dialog systems, multimodal foundation models, and speech-to-speech technologies. You will serve as the organization's foremost modeling expert, providing deep technical guidance to multiple teams working on interconnected speech capabilities. You will evaluate emerging research and industry trends-including

### Senior Machine Learning Engineer - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334
- Excerpt: Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

### Staff Machine Learning Engineer - Zoom Communications, Inc.
- Location: Seattle (WA) (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/Staff-Machine-Learning-Engineer_R18681
- Excerpt: Staff Machine Learning Engineer Seattle (WA) posted:

### Senior Applied Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-16
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Applied-Machine-Learning-Engineer--Typographic-Intelligence_R166553
- Excerpt: Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago

### Machine Learning Engineer – Computer Vision & Data Systems - Apple
- Location: Sunnyvale, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2025-12-17
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200636382/machine-learning-engineer-computer-vision-data-systems?team=MLAI
- Excerpt: Machine Learning Engineer – Computer Vision & Data Systems Sunnyvale, United States of America At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy. We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. As a Machine Learning Engineer, you will: - Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities. - Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition. - Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems. - Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations. Minimum Qualifications: Strong foundation in computer vision, including experience with deep learning-based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. Hands-on experience developing machine learning models using frameworks such as

### Senior Applied Deep Learning Scientist - Large Vision Language Models - NVIDIA Corporation
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Senior-Applied-Deep-Learning-Scientist---Large-Vision-Language-Models_JR2018540
- Excerpt: Senior Applied Deep Learning Scientist - Large Vision Language Models 4 Locations posted: Posted 23 Days Ago

### Senior Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R160087
- Excerpt: Senior Machine Learning Engineer San Jose posted: Posted 25 Days Ago

### Senior Machine Learning Engineer - GlobalFoundries
- Location: IND - Karnataka - Bengaluru - North (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://globalfoundries.wd1.myworkdayjobs.com/External/job/IND---Karnataka---Bengaluru---North/Senior-Machine-Learning-Engineer_JR-2601722
- Excerpt: Senior Machine Learning Engineer IND - Karnataka - Bengaluru - North posted: Posted 30+ Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R169199-1
- Excerpt: Machine Learning Engineer San Jose posted: Posted 7 Days Ago

### Machine Learning Engineer - Paylocity
- Location: Remote, US (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://2000recruiting.paylocity.com/recruiting/jobs/Apply/45429/Paylocity/Machine-Learning-Engineer
- Excerpt: Machine Learning Engineer Remote, US Machine Learning Engineer

### Machine Learning Research Engineer, SIML - ISE - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-05-28
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200628549/machine-learning-research-engineer-siml-ise?team=MLAI
- Excerpt: Machine Learning Research Engineer, SIML - ISE Cupertino, United States of America Join the team building the next generation of Apple Intelligence! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer in the domain of multi-modal perception and reasoning. This is an opportunity to work at the core of Apple Intelligence, working across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem. This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. You will be part of a fast-paced, impact-driven Applied Research organization working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more! SELECTED REFERENCES TO OUR TEAM'S WORK: https://www.youtube.com/watch?v=GGMhQkHCjxo&t=255s https://support.apple.com/guide/iphone/use-visual-intelligence-iph12eb1545e/ios As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with experienced researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices. Your primary responsibilities include: - Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning - Innovate robust algorithms that integrate visual and language data for comprehensive understanding - Collaborate closely with cross-functional teams to translate product requirements into effective ML solutions. -

### Senior Machine Learning Engineer III - RELX
- Location: Mexico (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://relx.wd3.myworkdayjobs.com/relx/job/Mexico/Senior-Machine-Learning-Engineer-III_R110959-2
- Excerpt: Senior Machine Learning Engineer III Mexico posted: Posted 8 Days Ago

### Machine Learning Engineer - Visa Inc.
- Location: SE - Stockholm, Sweden (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://visa.wd5.myworkdayjobs.com/visa/job/SE---Stockholm-Sweden/Machine-Learning-Engineer_REF080274W
- Excerpt: Machine Learning Engineer SE - Stockholm, Sweden posted: Posted 30+ Days Ago

### Machine Learning Algorithm and Software Engineer - Apple
- Location: Sunnyvale, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2024-11-22
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200579859/machine-learning-algorithm-and-software-engineer?team=MLAI
- Excerpt: Machine Learning Algorithm and Software Engineer Sunnyvale, United States of America Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation, robotics and health applications impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in

### Senior Machine Learning Engineer - Enrichment & Content Intelligence - Spotify
- Location: New York, NY (unspecified)
- Salary: $184K-$263K
- Posted: 2026-05-28
- Apply: https://jobs.lever.co/spotify/159e823e-5a29-4222-94bb-40e97f63cc93
- Excerpt: Senior Machine Learning Engineer - Enrichment & Content Intelligence New York, NY The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify's catalog. Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify. We're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine

### Software Engineer, Machine Learning Platform - New York Times Company
- Location: New York, NY (unspecified)
- Salary: $110K-$130K
- Posted: 2026-01-27
- 401(k) match: listed (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/thenewyorktimes/jobs/4653129005
- Excerpt: Software Engineer, Machine Learning Platform New York, NY The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations. The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models with low-latency and Service Level Agreements (SLAs) guaranteed by the MLP. We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times. This role is a hybrid role, based in New York City. You will

### Machine Learning Engineer (Semantic Scene Understanding) - Harmattan AI
- Location: Paris, Île-de-France, France (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-08
- Apply: https://jobs.ashbyhq.com/harmattan-ai/84eabe6a-7bb0-4da2-95a7-af89f4370511
- Excerpt: Machine Learning Engineer (Semantic Scene Understanding) Paris, Île-de-France, France About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Machine Learning Engineer to join our Semantic Scene Understanding team in Paris. In this role, you will design the core algorithms to extract semantic information in real-time from the theatre of operations as seen through the different cameras of our different UAVs, to improve the operator's scene understanding. Responsibilities - Design and Train: Develop state-of-the-art machine learning algorithms for semantic segmentation, object detection, and classification tailored to aerial imagery. - Advanced Feature Extraction: Build high-level tactical features on top of base semantic data, such as real-time road vectorization, trafficability analysis, and dynamic obstacle mapping. - Multi-Agent Fusion: Architect pipelines that temporally and spatially align semantic data from multiple moving UAVs into a cohesive Common Operational Picture (COP). - Edge Optimization: Optimize and deploy these algorithms directly into our tactical C2 platform, utilizing quantization, pruning, and hardware acceleration to meet strict real-time compute constraints. Candidate Requirements - Educational Background: MSc

### Machine Learning Engineer - Health AIML - Apple
- Location: Boulder, United States of America (unspecified)
- Salary: $212K-$386K
- Posted: 2026-04-24
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200659977/machine-learning-engineer-health-aiml?team=MLAI
- Excerpt: Machine Learning Engineer - Health AIML Boulder, United States of America The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives. In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products. Minimum Qualifications: 10+ years of overall software development experience. Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production. BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification). Preferred Qualifications: Ph.D. in Computer Science, Machine Learning, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications. Proficiency

### Senior Solutions Architect - Deep Learning - NVIDIA Corporation
- Location: Israel, Tel Aviv (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-Solutions-Architect---Deep-Learning_JR1997494
- Excerpt: Senior Solutions Architect - Deep Learning Israel, Tel Aviv posted: Posted 30+ Days Ago

### Machine Learning Engineer - Visual Agents - Special Projects - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$221K
- Posted: 2026-04-17
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200657911/machine-learning-engineer-visual-agents-special-projects?team=MLAI
- Excerpt: Machine Learning Engineer - Visual Agents - Special Projects Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI. Build and evaluate vision-language agents that perceive real-world scenes and incorporate that context into conversational models Curate, annotate, and build multimodal datasets to support model training and evaluation Develop automated evaluation pipelines including LLM-as-judge frameworks, human evaluation protocols, and domain-specific benchmarks Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Design controlled experiments to measure model capabilities,

### Deep Learning Solution Architect - NVIDIA Corporation
- Location: China, Beijing (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Beijing/Deep-Learning-Solution-Architect_JR2015718
- Excerpt: Deep Learning Solution Architect China, Beijing posted: Posted 30+ Days Ago

### Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-05-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference
- Excerpt: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection

### Senior Technical Program Manager, Deep Learning Software - NVIDIA Corporation
- Location: China, Shanghai (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Senior-Technical-Program-Manager--Deep-Learning-Software_JR2016653
- Excerpt: Senior Technical Program Manager, Deep Learning Software China, Shanghai posted: Posted 30+ Days Ago

### Machine Learning Engineer - ML Applications - Hewlett-Packard
- Location: Porto Alegre, Rio Grande do Sul, Brazil (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://hp.eightfold.ai/careers/job/42108830
- Excerpt: Machine Learning Engineer - ML Applications Porto Alegre, Rio Grande do Sul, Brazil

### Research Engineer, Pretraining, DeepMind - DeepMind
- Location: New York, NY, USA (unspecified)
- Salary: $174K-$253K
- Posted: 2026-06-09
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSqbk8O_UBMke1PrcO5R81HM7xy9Fzq_C0bQRVVVFADJEjsACxwdTB62i8R0jumWJDlQoL-yDgVDCYUyKXb2AolbkxhdIr1K3Q7X5LzFuaBr4qGuJRbb82bUkupeIg%3D%3D_V2&loc=US&title=Research+Engineer
- Excerpt: Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on

### Machine Learning Engineer, AWS Neuron Inference, Annapurna ML - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2025-12-22
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3147714/machine-learning-engineer-aws-neuron-inference-annapurna-ml
- Excerpt: Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an

### Senior Deep Learning Software Engineer - Autonomous Vehicles - NVIDIA Corporation
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Software-Engineer---Autonomous-Vehicles_JR2005482
- Excerpt: Senior Deep Learning Software Engineer - Autonomous Vehicles 4 Locations posted: Posted 2 Days Ago

### Senior Deep Learning Software Engineer, LLM Performance - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Software-Engineer--LLM-Performance_JR2016389
- Excerpt: Senior Deep Learning Software Engineer, LLM Performance US, CA, Santa Clara posted: Posted 30+ Days Ago

### Sr. Computer Vision and Machine Learning Engineer, Creativity Apps - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-01-07
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200639987/sr-computer-vision-and-machine-learning-engineer-creativity-apps?team=SFTWR
- Excerpt: Sr. Computer Vision and Machine Learning Engineer, Creativity Apps Cupertino, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs Communicate the latest research developments in image generation to help drive the long-term product roadmap Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products. Minimum Qualifications: MS or PhD in Computer Science, Machine Learning or related field, and

### Machine Learning Engineer, Assessments - Speak
- Location: San Francisco | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/speak/5deeef02-1cd1-4a3c-903f-8542d6afce70
- Excerpt: Machine Learning Engineer, Assessments San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We're hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces). You will work in a tight loop with our Assessment Design Lead (Content/Learning Design), Machine Learning, Product, and Engineering to turn assessment constructs and rubrics into reliable, scalable scoring + feedback systems. This role owns the implementation, deployment, and ongoing quality of our

### Senior Machine Learning Engineer - Toronto-Dominion Bank
- Location: Toronto, Ontario (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://td.wd3.myworkdayjobs.com/TD_Bank_Careers/job/Toronto-Ontario/Senior-Machine-Learning-Engineer_R_1478728
- Excerpt: Senior Machine Learning Engineer Toronto, Ontario posted: Posted 30+ Days Ago

### Deep Learning Performance Architect - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Performance-Architect_JR2019420
- Excerpt: Deep Learning Performance Architect 2 Locations posted: Posted 2 Days Ago

### Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles - NVIDIA Corporation
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-and-Computer-Vision-Engineer---Autonomous-Vehicles_JR2014050
- Excerpt: Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles 3 Locations posted: Posted 4 Days Ago

### Senior Vice President, AI / Machine Learning Software Engineer - BNY Mellon
- Location: Pune, MH, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/BNY-Careers/requisitions/job/75850
- Excerpt: Senior Vice President, AI / Machine Learning Software Engineer Pune, MH, India Senior Vice President, AI / Machine Learning Software Engineer

### Senior Machine Learning Engineer - Neural Magic
- Location: Toronto - MSO (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Toronto---MSO/Senior-Machine-Learning-Engineer_R-053059-1
- Excerpt: Senior Machine Learning Engineer Toronto - MSO posted: Posted 10 Days Ago

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Source-backed benefit claims include source links; other benefit values are labeled separately.