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  • Principal Software Engineer - Vector Search - Elasticsearch

    Swiftype - Distributed, Distributed, United States
    Indexed from Custom Structured Comp disclosed in posting
    posted 65 days ago
    Unspecified Engineering From the posting source - Principal From the posting source Inferred from posting 16 wk leave $160K-$253K From the posting source Unknown provenance 401(k) reported

    Principal Software Engineer - Vector Search - Elasticsearch Distributed, Distributed, United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change,

  • Senior Machine Learning Engineer

    Adobe Inc. - 3 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 94 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior 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) reported

    Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

  • posted 65 days ago
    Unspecified Engineering From the posting source - Principal From the posting source Salary not disclosed

    Principal Engineer – AI Search & Vector Infrastructure Bulgaria Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? This is a unique opportunity to shape Redis capabilities for the AI era early in the cycle. We are looking for a highly experienced Principal Engineer to join the core Redis Search/AI organization and help define the architecture, technical strategy, and next-generation capabilities powering AI workloads at global scale. In this role, you will work on some of the hardest problems in modern AI infrastructure, including vector indexing, hybrid retrieval, distributed query execution, latency-critical serving, and large-scale system design. You will influence the direction of the platform across teams and play a key role in turning advanced research and emerging industry trends into production-ready capabilities used by millions of developers worldwide. What you'll do - Drive the architecture and technical direction of Redis Search and Vector capabilities - Design scalable and high-performance systems for vector search, retrieval, indexing, ranking, and AI serving workloads - Lead complex cross-team initiatives spanning Redis Core, Cloud, AI, and infrastructure teams - Partner with engineering and product leadership to define long-term strategy and

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 71 days ago

    Why we showed this

    Role: semantic match
    Unspecified 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) reported

    Machine Learning Engineer San Jose posted: Posted 8 Days Ago

  • Graphic Designer - AI Trainer

    Handshake - Remote (USA), Remote, United States
    Indexed from Ashby
    posted 170 days ago
    Remote From the posting source Design From the posting source - Mid From the posting source Salary not disclosed

    Graphic Designer - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled Inkscape users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with vector design, logo creation, or print and web graphics to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and creative workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Inkscape user who has worked in or around roles like: - Graphic Designer or Visual Designer - Brand Designer or UI Designer - Print or Web Designer You should have solid experience with one or more of the following: - Vector illustration, logo design, or icon creation using Inkscape - Annotating or labeling graphic design assets - Creating design assets from structured briefs or brand guidelines - Reviewing vector graphics for quality, precision, or design consistency What You'll Do You'll use your experience with Inkscape to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 1 year of hands-on experience with Inkscape , whether through professional work or freelance projects. - A working knowledge of vector design concepts and workflows - Strong written communication skills

  • Machine Learning Engineer

    Toronto-Dominion Bank - Toronto, Ontario
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 94 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Machine Learning Engineer Toronto, Ontario posted: Posted 30+ Days Ago

  • Inkscape Specialist - AI Trainer

    Handshake - Remote (USA), Remote, United States
    Indexed from Ashby
    posted 157 days ago
    Remote From the posting source Teaching Education From the posting source - Mid From the posting source Salary not disclosed

    Inkscape Specialist - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled Inkscape users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with vector design, logo creation, or print and web graphics to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and creative workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Inkscape user who has worked in or around roles like: - Graphic Designer or Visual Designer - Brand Designer or UI Designer - Print or Web Designer You should have solid experience with one or more of the following: - Vector illustration, logo design, or icon creation using Inkscape - Annotating or labeling graphic design assets - Creating design assets from structured briefs or brand guidelines - Reviewing vector graphics for quality, precision, or design consistency What You'll Do You'll use your experience with Inkscape to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - Minimum 3 years of hands-on experience with Inkscape , whether through professional work or freelance projects. - A working knowledge of vector design concepts and workflows - Strong written communication skills and

  • Sr. Machine Learning Engineer 4

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 67 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior 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) reported

    Sr. Machine Learning Engineer 4 2 Locations posted: Posted 4 Days Ago

  • UI/UX Visual Designer - AI Trainer

    Handshake - Remote (USA), Remote, United States
    Indexed from Ashby
    posted 153 days ago
    Remote From the posting source Design From the posting source - Mid From the posting source Salary not disclosed

    UI/UX Visual Designer - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled Inkscape users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with vector design, logo creation, or print and web graphics to evaluate AI-generated content and provide feedback that helps AI better understand visual tasks and creative workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced Inkscape user who has worked in or around roles like: - Graphic Designer or Visual Designer - Brand Designer or UI Designer - Print or Web Designer You should have solid experience with one or more of the following: - Vector illustration, logo design, or icon creation using Inkscape - Annotating or labeling graphic design assets - Creating design assets from structured briefs or brand guidelines - Reviewing vector graphics for quality, precision, or design consistency What You'll Do You'll use your experience with Inkscape to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 1 year of hands-on experience with Inkscape , whether through professional work or freelance projects. - A working knowledge of vector design concepts and workflows - Strong written communication

  • Machine Learning Engineer - Perception

    AEVA Technologies - Mountain View, CA
    Indexed from Lever
    posted 71 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity

    Machine Learning Engineer - Perception Mountain View, CA

  • posted 161 days ago
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity

    Software Engineer, AI and Search Team - C/C++ or Rust Bulgaria Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? Why would you love this job? This is a great opportunity to work at the core of Redis's search and vector capabilities as they evolve for the AI era. You'll join the Redis Search/Vector team and work on real production systems that power semantic, vector, and hybrid search for millions of developers worldwide. You'll collaborate closely with experienced engineers and tech leads, contributing to features that go from design to production, while growing your expertise in high-performance search, vector retrieval, and latency-critical systems. What you'll do: - Implement and optimize core vector and information-retrieval components (e.g., HNSW, quantization, filtering, re-ranking) under guidance - Work on performance-critical paths, improving latency, throughput, and resource efficiency - Contribute to solving real-world problems at scale with a focus on correctness, reliability, and maintainability - Participate in design discussions and code reviews within the Search/Vector team - Collaborate with Redis Core, Cloud, and Support teams on feature development and issue resolution - Learn and apply systems-level optimizations (e.g., memory layout, concurrency,

  • Senior Machine Learning Engineer

    Equifax - IRL - County Wexford - Wexford
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 65 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Machine Learning Engineer IRL - County Wexford - Wexford posted: Posted 2 Days Ago

  • Enterprise Account Executive

    Vector - Remote
    Indexed from Ashby
    posted 67 days ago
    Remote From the posting source Sales From the posting source - Senior From the posting source Salary not disclosed

    Enterprise Account Executive Remote About Vector Vector builds mobile and web technology that makes freight move faster. Our platform is used by warehouses, distribution centers, and carriers to streamline check-ins, appointments, dock scheduling, and driver workflows. About the Role As an Enterprise Account Executive at Vector, you'll be at the forefront of transforming logistics and facility operations through our digital workflow solutions which include eBOL, Digital Check-In and Yard Management System. In this strategic role, you'll lead the full sales cycle-developing pipeline, creating demand, and guiding enterprise customers through complex buying decisions. You'll work closely with Solutions Architects, SDRs, and executive leadership in a team-based selling motion to align our offering to customer pain points, build executive trust, and deliver a compelling ROI-backed business case. We're looking for a commercially driven, consultative seller with experience navigating large organizations, building multi-threaded relationships, and influencing both operational and financial stakeholders. What You'll Do - Own a book of business that includes net new logos and upsell with existing customers - Execute account strategies to identify opportunities aligned with customer initiatives - Partner with Solutions Architects to diagnose customer challenges and demonstrate tailored solutions to the buyers needs - Quarterback a deal team support from SDR(s), solution architects, executives, and product teams - Drive executive alignment across business and IT stakeholders to secure buy-in and budget - Partner with Pre-Sales to deliver compelling business cases and ROI models in collaboration with customer finance teams - Forecast opportunities accurately and manage deals through long

  • Senior Machine Learning Engineer

    Toronto-Dominion Bank - Toronto, Ontario
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 94 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Senior Machine Learning Engineer Toronto, Ontario posted: Posted 30+ Days Ago

  • Senior Staff Propulsion Engineer (TVC) (X-BAT) (R4160)

    Shield AI - Dallas, Texas
    Indexed from Lever Benefit evidence checked Jun 7, 2026
    posted 283 days ago
    Unspecified Engineering From the posting source - Staff Plus From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported Secret clearance

    Senior Staff Propulsion Engineer (TVC) (X-BAT) (R4160) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Propulsion Engineer to serve as the Responsible Engineer (RE) for the Thrust Vector Control (TVC) system on X-BAT. This role demands full lifecycle ownership of the TVC system, from concept and architecture through design, integration, test, flight, and operational support. You will serve as the focal point for all technical matters related to thrust vectoring, ensuring the system enables precise flight control authority, integrates cleanly with the engine and airframe, and performs reliably across the full range of operational conditions. This role is hands-on, data-driven, and highly cross-functional, requiring collaboration with controls, airframe, flight test, and mission teams. Job Description: We are seeking a Propulsion Engineer to serve as the Responsible Engineer (RE) for the Thrust Vector Control (TVC) system on X-BAT. This role demands full lifecycle ownership of the TVC system, from concept and architecture through design, integration, test, flight, and operational support. You will serve as the focal point for all technical matters related to thrust vectoring, ensuring the system enables precise flight control authority, integrates

  • Senior/Software Engineer, AI-Powered Advertising Agents

    Pubmatic INC - Pune, IN
    Indexed from Greenhouse Benefit evidence checked Jun 13, 2026
    posted 63 days ago
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior/Software Engineer, AI-Powered Advertising Agents Pune, IN About the Role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. What You'll Do: Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownership-from feasibility analysis and design specifications to execution and release-while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses.

  • AI/ML Engineer

    Lam Research - US-CA-Fremont (1003)
    Indexed from Eightfold Benefit evidence checked Jun 13, 2026
    posted 63 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    AI/ML Engineer US-CA-Fremont (1003)

  • Machine Learning Engineer

    Amgen - India - Hyderabad
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 94 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

  • Sr. Research Associate, Vector Production

    Dyno Therapeutics - Watertown, Massachusetts, United States
    Indexed from Greenhouse Comp disclosed in posting
    posted 94 days ago
    Onsite - 5d office From the posting source Healthcare From the posting source - Senior From the posting source $96K-$108K From the posting source Equity

    Sr. Research Associate, Vector Production Watertown, Massachusetts, United States The Role Senior Research Associate, Vector Production. Hands-on lab role supporting reliable AAV manufacturing and process development through execution of upstream, downstream, and QC-support workflows, with strong emphasis on operational rigor. Job Type: Full Time, onsite Location: Watertown, MA How You Will Contribute As Senior Research Associate, Vector Production, you will be responsible for executing AAV manufacturing and process-development lab work across upstream, downstream, and QC-support workflows while maintaining strong documentation, sample handling, and operational discipline. At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine. Responsibilities: - Execute AAV upstream, downstream, and QC-support workflows in support of team production and development priorities - Maintain accurate, timely documentation in lab notebooks and operational tracking systems - Support process development experiments through careful execution, troubleshooting, and data capture - Contribute to shared lab operations, including sample handling, inventory, and SOP updates - Partner closely with team members to coordinate work, surface issues early, and maintain execution quality - Work with urgency and adaptability, balancing innovation with execution. - Collaborate cross-functionally, leveraging Dyno's high-trust, high-impact culture to drive results. Basic qualifications - Bachelor's degree in biology, biochemistry, bioengineering, chemical engineering, molecular biology, or related field - 4+ years of relevant lab experience - Direct hands-on experience with AAV production in a research, biotech, or process-development setting - Hands-on experience with mammalian cell culture and aseptic technique

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 70 days ago

    Why we showed this

    Role: semantic match
    Unspecified 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) reported

    Machine Learning Engineer San Jose posted: Posted 7 Days Ago

  • Software Engineer, Backend

    Exa - San Francisco, California | OnSite
    Indexed from Ashby
    posted 65 days ago
    Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed

    Software Engineer, Backend San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests. DESIRED EXPERIENCE - You have experience writing and maintaining high throughput, low latency systems - You can build data processing pipelines that deal with millions of documents per day - You're comfortable optimizing a system to an exceptional degree - You care about the problem of finding high quality information and recognize how important this is for the world - Plus: Experience in some high performance language (C++, Rust, etc.) EXAMPLE PROJECTS - Recreate Google-level keyword search over 10 billion pages in 1 month - Build a state-of-the-art crawling system that works optimally for any website - Build a custom vector database that runs over a billion vectors in

  • Senior Machine Learning Engineer

    Neural Magic - Toronto - MSO
    Indexed from Workday
    posted 73 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed

    Senior Machine Learning Engineer Toronto - MSO posted: Posted 10 Days Ago

  • Machine Learning Engineer

    Equifax - USA-ID-Boise
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 74 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer USA-ID-Boise posted: Posted 11 Days Ago

  • Senior Software Engineer - Vector Search - Elasticsearch

    Elastic NV - Canada
    Indexed from Greenhouse Comp disclosed in posting
    posted 157 days ago
    Unspecified Engineering From the posting source - Senior From the posting source CAD 128K-203K From the posting source Equity

    Senior Software Engineer - Vector Search - Elasticsearch Canada Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a senior software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by

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