Junior/Entry Level Software Engineer SynergisticITJunior/Entry Level Software EngineerRutland, VT$95,000–$154,000 / yearTemporaryContractorFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Junior/Entry Level Software Engineer/data scientist SynergisticITJunior/Entry Level Software Engineer/data scientistSeattle, WA$82,000–$136,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. SynergisticIT JOPP is good for entry-level software engineering candidates because it helps address the key areas where applicants often fall short: current skills, hands-on projects, resume alignment, interview confidence, and job-search execution.
Junior Data Scientist/Analyst/Engineer - Remote SynergisticITJunior Data Scientist/Analyst/Engineer - RemoteAustin, TXRemote$82,000–$127,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
NewAI / Machine Learning Engineer Apogee Global RMSAI / Machine Learning EngineerPiscataway, NJThe ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle—from data preparation and model development to deployment and optimization across cloud and mobile environments. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.
NewMachine Learning Engineer Vets HiredMachine Learning EngineerBeavercreek, OhioThe engineer will contribute to research and development efforts involving large-scale data processing, pattern recognition, anomaly detection, and the exploitation of sensor-derived data to detect, track, and characterize targets of interest. Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
Machine Learning Engineer Institute of Foundation ModelsMachine Learning EngineerSunnyvale, CaliforniaStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
Machine Learning Engineer 10a LabsMachine Learning EngineerWashingtonRemoteBrings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration; Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion; Communicates technical concepts clearly to both technical and non-technical audiences; Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Machine Learning Engineer CoVarMachine Learning EngineerDurham, NCWe develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques.
Machine Learning Engineer MatrixSpaceMachine Learning EngineerBurlington, MARemote$165,000–$200,000 / yearThis is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster. Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
Staff Machine Learning Engineer Intuitive Surgical IncStaff Machine Learning EngineerSunnyvale, CAExpertise in industrial-scale ML engineering, including model deployment for real-time inference, GPU/throughput optimization (e.g., TensorRT, ONNX Runtime, mixed precision), and building scalable, production-ready ML pipelines with MLOps best practices. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).
Machine Learning Engineer Equifax IncMachine Learning EngineerAlpharetta, GACollaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems. Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends.
Machine Learning Engineer, Generative ML , Level 5 Snap IncMachine Learning Engineer, Generative ML , Level 5Los Angeles, CA$209,000–$313,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience.
NewMachine Learning Engineer - Model Evaluation & Experimentation Weekday AIMachine Learning Engineer - Model Evaluation & ExperimentationRemoteFrom implementing experimental ideas and running training pipelines to analyzing model behavior and validating results, you will help establish high-quality evaluation benchmarks that reveal the strengths and limitations of frontier AI models. We are seeking experienced Machine Learning Engineers and Researchers to bring hands-on expertise in model development, experimentation, and evaluation to create rigorous benchmark tasks for advanced AI systems.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USSeattle, WAWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools (Freelance - Remote) Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools (Freelance - Remote)Minneapolis, MNRemoteWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
Sr. Machine Learning Engineer, Medical Imaging Intuitive Surgical IncSr. Machine Learning Engineer, Medical ImagingSunnyvale, CACertain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process). U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Sr Machine Learning Engineer, AI Research Cribl IncSr Machine Learning Engineer, AI ResearchNYRemote$185,000–$215,000 / yearYou will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality.
Machine Learning Engineer I Gen Digital IncMachine Learning Engineer IMountain View, CAOur combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Applied ML and model development: Two or more years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a related field, including experience building and evaluating models with real-world data.
Machine Learning Engineer, AI Safety NVIDIA CorpMachine Learning Engineer, AI SafetySanta Clara, CAWe have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Large Language Models. We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety, ML Fairness and Robustness efforts for LLMs across all of our research and production engineering teams.
Staff Machine Learning Engineer webAIStaff Machine Learning EngineerAustin, TexasYou will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI.
Machine Learning Engineer Manager ZoomMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Applied Machine Learning Engineer Fireworks AIApplied Machine Learning EngineerSan Mateo, New YorkFounded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
Machine Learning Engineer, Level 4 Snap Inc.Machine Learning Engineer, Level 4Bellevue, WA$173,000–$259,000 / yearThe Company operates Snapchat (http://snapchat.com/?lang=en-US) , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. (https://www.specs.com/) , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji (http://bitmoji.com/) , Saturn, and other digital services. **Snap News (https://newsroom.snap.com/)** **:** Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant\_and\_Candidate\_Privacy\_Policy.pdf)
Senior Machine Learning Engineer, Ad Serving Roku IncSenior Machine Learning Engineer, Ad ServingNY$195,000–$408,000 / yearManager, Client Strategy New York Software Engineer, Embedded Agentic AI Austin, Texas Senior Machine Learning Engineer, Ad Serving Boston, Massachusetts Senior Machine Learning Engineer Austin, Texas Senior Software Engineer, Machine Learning (ML Ops) Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Senior Software Engineer, Ads Auction Platform Oxford Road, Manchester, England Senior Software Engineer, Ads Auction Platform Milton, Cambridge, England Data Engineer, Ads Auction Platform Milton, Cambridge, England. blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_ddcbf6cd2b3fb01ca7c9279824ad0b15" style="background-image: linear-gradient(rgba(0, 0, 0, 0.0),rgba(0, 0, 0, 0.0)), url( https://d25wby5c7p9100.cloudfront.net/public/uploads/9dd4272d942760bfb0f16858b0a632e7/images/files/9fe8b0cc48a58cfb0c4d05137e277a7e/large/Purple_People.jpg?1632851332);background-position : 50% 50%" title="">.
Senior Machine Learning Engineer IndeedSenior Machine Learning EngineerSeattle, WAGEPA) + Knowledge of and practical experience working on Deep Learning libraries (like Torch, Tensorflow, etc.) and modern ML/LLM tooling + Familiarity with modern ML system design, including evaluation, experimentation, and production monitoring for predictive and LLM-based systems + Excellent written and verbal communication, effective with technical and business audiences **Salary Range Transparency** Tier 1 - United States of America 138,000 - 208,000 USD per year Tier 2 - United States of America 154,000 - 230,000 USD per year Tier 3 - United States of America 169,000 - 253,000 USD per year Tier 4 - United States of America N/A Tier 5 - United States of America 193,000 - 289,000 USD per year **Salary Range Disclaimer** The salary range for this role reflects the minimum and maximum compensation for the role. + Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team **Skills/Competencies** + Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 years of related experience; or a Master's degree with a minimum of 3 years of experience; or a PhD without experience + Prior success in deploying impactful Machine Learning and/or LLM-based solutions to large-scale production systems + Solid knowledge of data structures and algorithms + Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains + Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g.
Principal Machine Learning Engineer (MLE) Equinix IncPrincipal Machine Learning Engineer (MLE)Dallas, TXBuild and deploy classical ML models (regression, classification, clustering), NLP applications (sentiment analysis, summarization, Q&A, chatbots, information retrieval), and computer vision solutions (image classification, object detection, segmentation using models such as YOLOv7, DDRNet, RFTM with datasets like COCO and Cityscapes). You will work closely in AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production‑grade solutions across multi‑cloud environments including GCP, AWS, and Azure.
Senior Machine Learning Engineer NVIDIASenior Machine Learning EngineerUs, CaliforniaModel Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking). Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment.
Machine Learning Engineer eTeam Inc.Machine Learning EngineerPleasanton, CAProficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch.
Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI Scale AI IncSenior/Staff Machine Learning Engineer, General Agents, Enterprise GenAICAAs a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value.
NewSr. Machine Learning Engineer AppFolio, IncSr. Machine Learning EngineerRemote - Atlanta, GARemote$167,200–$209,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
Machine Learning Engineer: LLM Interpretability & Systems CTGTMachine Learning Engineer: LLM Interpretability & SystemsSan Francisco, CaliforniaCTGT’s Senior Machine Learning Engineer will operate deep within the model stack, working directly with weights, activations, and architectures to build the systems that make AI governance deterministic. Leverage techniques like activation patching, control vectors, and feature extraction to achieve targeted, repeatable improvements in model output.
Senior Machine Learning Engineer CoVarSenior Machine Learning EngineerMcLean, VirginiaWe’re seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time. Communicate and publish: Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable.
Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.) Exponent Inc.Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.)Menlo Park, California$140,000–$160,000 / yearFull timeIn this role, you will be expected to grow in the key aspects of consulting, including technical expertise and effective spoken and written communications, to develop a consulting practice serving clients both within and outside the firm. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.
Lead Machine Learning Engineer May Mobility IncLead Machine Learning EngineerAnn Arbor, MI$220,000–$270,000 / yearBased in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway!
Machine Learning Engineer II May Mobility IncMachine Learning Engineer II$160,000–$210,000 / yearLaunched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway!
Machine Learning Engineer II - Autonomous Driving Performance Evaluation May Mobility IncMachine Learning Engineer II - Autonomous Driving Performance Evaluation$172,000–$210,000 / yearLaunched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. Success in this role typically requires the following competencies: Designing quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis).
Machine Learning Engineer VerneekMachine Learning EngineerNew York, NYIf you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries.
Staff Machine Learning Engineer - AI/ML Compiler Qualcomm IncStaff Machine Learning Engineer - AI/ML CompilerSanta Clara, CA$160,500–$240,700 / yearQualcomm AI Hub Workbench lets developers compile trained PyTorch or ONNX models into deployable artifacts targeting a variety of runtimes - LiteRT, ONNXRuntime, or Qualcomm AI Engine Direct SDK (QAIRT) - and profile and validate them on real Qualcomm devices hosted in the cloud. You will work across the full compilation pipeline - from model ingestion and graph optimization to backend dispatch across CPU, GPU, and NPU - ensuring models compile correctly, execute efficiently, and scale across a growing catalog of on-device use cases spanning vision, audio, speech, and multi-modal models.
Machine Learning Engineer II Techtronic Industries North America, Inc.Machine Learning Engineer IIAnderson, SCKey responsibilities include framing ML use cases, designing data-collection strategies and ground-truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. Primary Job Requirements: + Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms AppleSenior Staff Machine Learning Engineer, Apple Search & Knowledge PlatformsSeattle, WAStrong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models' safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability. **Minimum Qualifications** + 8+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models + Proven record of consistent delivery of technology/products across the full Machine Learning life cycle + MS or Ph.
Future Opportunity -- Machine Learning Engineer Intuitive Surgical IncFuture Opportunity -- Machine Learning EngineerSunnyvale, CAU.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR \u00a7743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees\u2028who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).
Senior Machine Learning Engineer - Scene Understanding Zoox IncSenior Machine Learning Engineer - Scene UnderstandingFoster City, CA$189,000–$290,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you''ll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
Founding Machine Learning Engineer Composite Sciences IncFounding Machine Learning EngineerSan Francisco, CAUnlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused "AI browsers," we run AI directly through professionals existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction. Youll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.
Founding Machine Learning Engineer CompositeFounding Machine Learning EngineerSan Francisco, CaliforniaUnlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused "AI browsers," we run AI directly through professionals' existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction. You'll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.
Artificial Intelligence/Machine Learning Engineer Wabash Valley Power Association IncArtificial Intelligence/Machine Learning EngineerIndianapolis, INHeadquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning.
Senior Machine Learning Engineer - Perception & Embodied AI General MotorsSenior Machine Learning Engineer - Perception & Embodied AIMountain View, CA$170,600–$261,300 / yearAs a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
NewMachine Learning Engineer, Senior Associate JPMorgan Chase Bank, N.A.Machine Learning Engineer, Senior AssociatePlano, TXFull timeStrong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning with experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products.
Machine Learning Research Engineer RoboflowMachine Learning Research EngineerWe provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You are a pragmatic, experienced machine learning researcher who wants to be an important part of an exceptional team that focuses on using Roboflow's computer vision tools to impact and improve every industry.
Lead, Machine Learning Engineer Prudential Financial IncLead, Machine Learning EngineerNewark, NJ$125,000–$229,700 / yearAdvanced experience and/or expertise with several of the following: Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
Senior Machine Learning Engineer, Simulation Evaluation Waymo LLCSenior Machine Learning Engineer, Simulation EvaluationMountain View, CA$213,000–$263,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.