Adaptive jobs
5,250 matches, filter-driven and evidence-linked.
Filters
0 active
Remote, hybrid, onsite
State
Shift type
Weekend work
Country
Cover letter
Assessment
Salary type
Equity type
Family-building benefits
Benefit evidence
-
Machine Learning Engineer: Multimodal Sensor Fusion
Apple - Sunnyvale, United States of AmericaIndexed from Apple Custom Benefit evidence checked Jun 13, 2026 Comp disclosed in postingposted 257 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source $147K-$272K From the posting source Equity Inferred from posting 401(k) reportedMachine Learning Engineer: Multimodal Sensor Fusion Sunnyvale, United States of America At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily. Ready to make an impact? We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale. In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments. Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team. Leading
- posted 156 days agoUnspecified Design From the posting source - Senior From the posting source Inferred from posting 4 wk leave Inferred from posting 4 wk non-birth leave Salary not disclosed
Senior Graphic Designer (Content Adaptation) Country Paraguay Resumen de la Posición Integrated Marketing Solutions LATAM | Asunción, Paraguay IMS - Servicios de Marketing Integrado / Senior Graphic Designer (Content Adaptation) Turno Disponible: Lunes a Viernes de 10:00 a 20:00 Nestlé Business Solutions está buscando personas extraordinarias para unirse a nuestro equipo de clase mundial. En Paraguay somos dos unidades de Nestlé: Nestlé Paraguay es la unidad encargada de importar y distribuir todas nuestras marcas #1 y tiene 23 años en el mercado.Por otro lado, somos Integrated Business Solutions Asunción y brindamos servicios de Backoffice como Supply Chain, Financial, HR y Digital & Social Media a todos los Nestlé en LATAM desde México hacia abajo. Nuestros clientes son nuestros compañeros.Somos un equipo de profesionales multicultural y diverso. Nos apasiona impulsar la mejora continua de los procesos con colegas de todo el mundo. Nos preocupamos por brindar servicios de alta calidad para respaldar la agilidad empresarial y la innovación digital.Si esto te describe y estás buscando unirte a una empresa donde realmente puedas agregar valor, ¡Es hora de considerar unirte a Nestlé Business Solutions! Resumen de la Posición: Será responsable de realizar actividades creativas (modificación de elementos, adaptación creativa según el brief, el contexto y el formato) y actividades de diseño gráfico (retoque/creación) de imágenes para su uso en banners, email marketing, videos, Retail Digital Media, material de Punto de Venta, así como la ada
-
Senior Machine Learning Engineer
Strava - Strava SF, San Francisco, California, United StatesIndexed from Ashby Benefit evidence checked Jun 7, 2026posted 226 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedSenior Machine Learning Engineer Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it's more than tracking workouts-it's where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale. This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team. We follow a flexible
- posted 360 days ago
Lead Data Scientist Bengaluru, Karnataka, India The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO. Technical Expertise - Strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale models (LLMs, transformers, diffusion models, etc.). - Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches such as LoRA, prefix tuning, adapters, and quantization-aware training. - Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem and good to have distributed training frameworks (e.g., DeepSpeed, PyTorch Lightning, Ray). - Basic understanding of MLOps best practices, including experiment tracking, model versioning, CI/CD for ML pipelines, and deployment in production environments. - Experience working with large datasets, feature engineering, and data pipelines, leveraging tools such as Spark, Databricks, or cloud-native ML services (AWS Sagemaker, GCP Vertex AI or Azure ML). - Knowledge of GPU/TPU optimization, mixed precision training, and scaling ML workloads on cloud or HPC environments. - Applied Problem-Solving Mandatory skill - - Demonstrated success in adapting foundation models to domain-specific applications through fine-tuning or transfer learning.Mandatory skill - - Strong ability to design, evaluate,
-
Internship: Internal Communication
Engie - Country BelgiumIndexed from Successfactors Benefit evidence checked Jun 7, 2026posted 156 days agoUnspecified Marketing From the posting source - Entry From the posting source Salary not disclosed Inferred from posting 401(k) reportedInternship: Internal Communication Country Belgium INTERNAL COMMUNICATION INTERNSHIP - Join Our Energetic Team! Are you a dynamic and digitally creative individual, ahead of the curve when it comes to the latest trends? We've got an exciting opportunity that's perfect for your learning journey! Join us as an Internal Communication Intern at ENGIE Belgium, where you'll play a vital role in our internal communication team, reporting directly to the Head of Internal Communication. YOUR ROLE as an Internal Communication Intern: You'll be at the forefront of our initiatives, creating adaptable content and communicating with diverse audiences. Your journey with us will encompass: Curating and managing communication channels Drafting copy for internal communication Translating emerging trends in digital and social for internal use Crafting captivating, adaptable visual content using tools like Canva Coordinating and adding flair to internal events and activations Collaborating on communication projects, including budget management experience YOUR PROFILE as an Internal Communication Intern: A student in a degree with focus on communication, where the internship is part of your curriculum. A wizard with words, with sound written and verbal communication skills Mastery in crafting and refining content A don in digital media best practices for online content creation Organizational skills for coordinating activations from idea generation to execution Proficiency in internal communication tools and content editing software, with an eye
-
Machine Learning Engineer
Adobe Inc. - San JoseIndexed from Workday Benefit evidence checked May 7, 2026posted 163 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reportedMachine Learning Engineer San Jose posted: Posted 7 Days Ago
-
Internship: Internal Communication
Engie - Country BelgiumIndexed from Successfactors Benefit evidence checked Jun 7, 2026posted 156 days agoUnspecified Marketing From the posting source - Entry From the posting source Salary not disclosed Inferred from posting 401(k) reportedInternship: Internal Communication Country Belgium INTERNAL COMMUNICATION INTERNSHIP - Join Our Energetic Team! IMPORTANT: For schoolyear 2025-2026 we only have an open position as from May 2026. Are you a forward-thinking, digitally savvy individual with a keen eye for the latest trends? We have an exciting opportunity that's perfect for advancing your learning journey! Join us as an Internal Communication Intern at EMS (European Maintenance Services, part of ENGIE Generation Europe ) which is responsible for the specialized maintenance of power plant turbines, alternators, high-voltage installations and boilers, among others. In a very operational environment you will have the chance to discover new skills in communication. YOUR ROLE as an Internal Communication Intern: You'll be at the forefront of our initiatives, creating adaptable content and communicating with diverse audiences. Your journey with us will encompass: Connecting people who are spread all over the globe Curating and managing communication channels (newsletters, intranet, engage, YouTube,..) Drafting copy for internal communication Translating emerging trends in digital and social for internal use Crafting captivating, adaptable visual content using tools like Canva, Adobe, Coordinating and adding flair to internal events and activations Exploring the world of podcasting Collaborating on communication projects, including budget management experience YOUR PROFILE as an Internal Communication Intern: A student in a degree with focus on communication, where th
-
Senior Machine Learning Engineer - Personalization
Spotify - New York, NYIndexed from Lever Comp disclosed in postingposted 186 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Senior From the posting source $210K-$260K From the posting source EquitySenior Machine Learning Engineer - Personalization New York, NY The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists. The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify. The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists. The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces,
-
Machine Learning Research Engineer, SIML - ISE
Apple - Cupertino, United States of AmericaIndexed from Apple Custom Benefit evidence checked Jun 13, 2026 Comp disclosed in postingposted 171 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source $147K-$272K From the posting source Equity Inferred from posting 401(k) reportedMachine 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. -
-
Legal Administrative Assistant
Whitley Penn - TX Fort WorthIndexed from Ukg Pro Benefit evidence checked Jun 7, 2026posted 172 days agoUnspecified Operations From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reportedLegal Administrative Assistant TX Fort Worth Whitley Penn, a leading CPA and consulting firm, is seeking a dedicated individual who excels at meeting deadlines and demonstrates strong attention to detail and accuracy, all while maintaining a positive attitude. The ideal candidate will be professional, adaptable, punctual, and reliable, supporting our fast-paced and detail-driven litigation support team. A paralegal degree or certificate is required.
-
Quality Engineer
Infosys Consulting - Location not specifiedIndexed from Brassring Kenexa Benefit evidence checked Jun 7, 2026posted 156 days agoUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reportedQuality Engineer In the assigned Job Role of Engineering Associate, your Area Of Responsibility will be as below: ⦁ Support prototype testing under guidance, contributing to iterative improvements ⦁ Assist in creation of testing procedures under guidance and based on subsequent iterations Your contribution to the team: ⦁ Willingness to learn and adapt to new concepts, tools and processes ⦁ Ability to assist in prototyping and testing ⦁ A collaborative mindset with effective communication skills ⦁ Dedication to continuous improvement and knowledge sharing
-
Machine Learning Engineer
Visa Inc. - SE - Stockholm, SwedenIndexed from Workday Benefit evidence checked Jun 13, 2026posted 187 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedMachine Learning Engineer SE - Stockholm, Sweden posted: Posted 30+ Days Ago
-
Software Development Engineer, CreativeX
Amazon - New York, New York, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 186 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $158K-$214K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSoftware Development Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at
-
MEDIA EXECUTIVE - KWTX (WACO)
Gray Media Inc - KWTX - StationIndexed from Ukg Pro Benefit evidence checked Jun 7, 2026posted 181 days agoUnspecified Sales From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedMEDIA EXECUTIVE - KWTX (WACO) KWTX - Station KWTX is seeking a passionate, energetic, and highly motivated Sales Executive who can adapt quickly and maximize sales across our over-the-air and digital platforms. A strong work ethic and the ability to formulate and execute a daily plan are a must. This is a fast-paced and fun business that requires persistence, organization, creativity, and strong interpersonal skills.
-
Broista - Deer Park, TX
Dutch Bros Inc. - Deer Park, Texas, United States of AmericaIndexed from Phenom People Benefit evidence checked Jun 7, 2026posted 181 days agoUnspecified Hospitality From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedBroista - Deer Park, TX Deer Park, Texas, United States of America Embrace the opportunity to become a Barista at Dutch Bros Coffee in Deer Park, TX! Deliver exceptional customer service, master cash handling, and ensure order accuracy in a fast-paced, fun environment. If you thrive on teamwork, adaptability, and making a positive impact, this is your chance to grow your career with us!
- posted 158 days ago
Why we showed this
Role: semantic matchHybrid - 2d office From the posting source Sales From the posting source - Mid From the posting source Salary not disclosedScientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and
-
MEDIA EXECUTIVE - WFSB
Gray Media Inc - WFSB - Rocky Hill, CTIndexed from Ukg Pro Benefit evidence checked Jun 7, 2026posted 171 days agoUnspecified Sales From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedMEDIA EXECUTIVE - WFSB WFSB - Rocky Hill, CT WFSB is seeking a passionate, energetic, and highly motivated Sales Executive with media sales experience who can adapt quickly and maximize sales across our over-the-air and digital platforms. A strong work ethic and the ability to formulate and execute a daily plan are a must. This is a fast-paced and fun business that requires persistence, organization, creativity, and strong interpersonal skills.
-
Assistant Manager(03208) - 254 N. Broadway
Domino's - Salem, NH, United StatesIndexed from Smartrecruiters Benefit evidence checked Jun 13, 2026posted 156 days agoUnspecified Operations From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedAssistant Manager(03208) - 254 N. Broadway Salem, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information:
-
ML Systems Performance Engineer
Cerebras Systems - Sunnyvale CA or Toronto CanadaIndexed from Greenhouse Benefit evidence checked Jun 7, 2026posted 298 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reportedML Systems Performance Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate
-
Research Scientist, Reinforcement Learning - Atlas
Boston Dynamics - Waltham Office (POST)Indexed from Workday Benefit evidence checked Jun 7, 2026posted 158 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reportedResearch Scientist, Reinforcement Learning - Atlas Waltham Office (POST) posted:
-
NEWS ANCHOR (MORNING) - WEAU
Gray Media Inc - WEAU - StationIndexed from Ukg Pro Benefit evidence checked Jun 7, 2026posted 161 days agoUnspecified Healthcare From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedNEWS ANCHOR (MORNING) - WEAU WEAU - Station We seek a versatile morning anchor to lead our flagship early morning newscast. You'll be the voice and face of WEAU during critical morning hours, commanding audience trust through authoritative delivery, sharp storytelling, and authentic connection with viewers. This is a high-visibility role in a fast-paced environment that demands excellence, adaptability, and unwavering commitment to editorial integrity.
-
Sr. Talent Acquisition Partner
Arcosa Inc - Memphis, TNIndexed from Ukg Pro Benefit evidence checked Jun 7, 2026posted 163 days agoUnspecified Hr From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSr. Talent Acquisition Partner Memphis, TN Meyer Utility Structures, an Arcosa subsidiary, is seeking a Senior Talent Acquisition Partner to support the company's strategy for continued growth and team development. This role offers an opportunity for an adaptable professional to help shape a successful, growing manufacturing organization. As part of the Meyer HR team, this manager will lead full-cycle recruiting across the business unit.
-
Applied Machine Learning Research Scientist
Cerebras Systems - Sunnyvale CA or Toronto CanadaIndexed from Greenhouse Benefit evidence checked Jun 7, 2026posted 255 days agoWhy we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reportedApplied Machine Learning Research Scientist Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the
-
Assistant Manager(03997) - 824 Washington Street
Domino's - Weymouth, MA, United StatesIndexed from Smartrecruiters Benefit evidence checked Jun 13, 2026posted 156 days agoUnspecified Operations From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedAssistant Manager(03997) - 824 Washington Street Weymouth, MA, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information:
Take this list with you
Download the 5,250 matching jobs in any format - read offline, archive, or hand to an AI assistant with your resume to find the best fits.
Or email it to me instead
The AI-ready prompt is a pre-written question you can paste into Claude, ChatGPT, Gemini, or Perplexity along with your resume. We never see your resume; this happens in your AI client of choice.
AI agent reading directly? Same data lives at /api/jobs.json?page=10&q=Adaptive&quality=all.
See /llms.txt and /api/openapi.json for the full schema.