Senior/Staff Machine Learning Engineer, Data Infrastructure Unity Technologies SFSenior/Staff Machine Learning Engineer, Data InfrastructureMountain View, CaliforniaWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Senior Machine Learning & Data Scientist, OS Power & Performance Apple IncSenior Machine Learning & Data Scientist, OS Power & PerformanceCupertino, CAD. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the companys overall strategy and objectives.
Senior/Staff Machine Learning Engineer, Match Team EnigmaSenior/Staff Machine Learning Engineer, Match TeamLos Angeles, CA$180,000–$295,000 / yearYou'll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
Machine Learning Engineer, Search Quality Glean Technologies, Inc.Machine Learning Engineer, Search QualityMountain View, CA$140,000–$265,000 / yearRecognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
Staff Machine Learning Engineer - AI/ML Compiler Qualcomm IncStaff Machine Learning Engineer - AI/ML CompilerSan Diego, 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.
Senior Machine Learning Engineer - ML Training Infrastructure General MotorsSenior Machine Learning Engineer - ML Training InfrastructureSunnyvale, CA$170,000–$240,800 / yearAs a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. 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.
Software Engineer, Machine Learning Platform ProfluentSoftware Engineer, Machine Learning PlatformEmeryville, CA$200,000–$330,000 / yearFounded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.
Senior Machine Learning Systems Engineer, Ranking Platform Reddit IncSenior Machine Learning Systems Engineer, Ranking PlatformCARemote$216,700–$303,400 / yearAs a Senior Software Engineer, ML Ranking Platform, you will design, implement and maintain highly robust, scalable, reliable and performant ranking systems that power personalized feeds, search, and other products at Reddit scale. Who You Might Have: 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language.
Machine Learning Research Scientist VoltaiMachine Learning Research ScientistMenlo Park, CaliforniaBacked by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing. About the Team Our founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn.
Principal, Machine Learning Engineer Lila Sciences IncPrincipal, Machine Learning EngineerSan Francisco, CA$252,000–$374,000 / yearWithin Life Science AI (LSAI), ML engineers build and operate the systems that turn generative models and reasoning frameworks into production capabilities powering automated scientific discovery across Lila''s life science domains. You will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila''s ML infrastructure toward the next generation of capabilities.
Machine Learning Engineer, Intelligent Sensing Technology - Incubation Apple IncMachine Learning Engineer, Intelligent Sensing Technology - IncubationCupertino, CAPyTorch), with a practical approach to tooling that includes AI-assisted development as a natural part of the workflow Proven experience building end-to-end ML pipelines, from data acquisition and preprocessing through training, evaluation, and deployment Experience architecting and integrating sensing systems that fuse multimodal signals (e.g. BS and a minimum of 3 years relevant industry experience in machine learning or AI engineering Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference Strong coding skills across modern ML frameworks (e.g.
Senior/Staff Computer Vision Engineer - Deep Learning Focus Phantom AISenior/Staff Computer Vision Engineer - Deep Learning FocusMountain View, CA$180,000–$240,000 / yearThe successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
NewSenior Research Engineer, Controls PlusAISenior Research Engineer, ControlsSanta Clara, CAYou will be a crucial part of our team, working alongside engineers, research scientists, and domain experts to build optimal and data driven controls to realize planned vehicle trajectories. Your responsibilities will include the development of machine-learning vehicle models and learning based control policies leveraging the extensive data we collect every day across our autonomous trucking fleet.
New1st Shift Machine Operator Grillos Midwest1st Shift Machine OperatorGardena, CAUnder the direction of the Production Supervisor, the 1st Shift Machine Operator plays a vital role in producing, packaging, and preparing Grillo’s high-quality food products in a clean, temperature-controlled facility. This position is ideal for individuals who enjoy hands-on, technical work and problem-solving in a fast-paced and stable manufacturing environment.
Head Of Machine Learning EarninHead Of Machine LearningMountain View, CA$477,000–$583,000 / yearA Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway.
Machine Learning Infrastructure Engineer ZensorsMachine Learning Infrastructure EngineerSan Francisco, CaliforniaBuilding Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. Your responsibilities will include: Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures.
Senior Machine Learning Engineer, End‑to‑End Autonomous Driving NVIDIASenior Machine Learning Engineer, End‑to‑End Autonomous DrivingUs, CaliforniaYou will help build, train, and deploy large‑scale E2E driving models that leverage VLM/VLA architectures, and build a data flywheel that continuously improves our systems in the real world! Hands‑on experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.
Senior / Staff Machine Learning Engineer, Applied AI Lila SciencesSenior / Staff Machine Learning Engineer, Applied AISan Francisco, Massachusetts$180,000–$298,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts.
Senior Machine Learning Engineer, Model Risk Management Block IncSenior Machine Learning Engineer, Model Risk ManagementCA$189,000–$283,600 / yearBlock lends, moves money, and screens for financial crime at enormous scale, and one bad model can mean millions in credit losses, suspicious activity that goes unreported, or a fair lending violation. Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.
Machine Learning Staff Software Engineer, Search Personalization Google LLCMachine Learning Staff Software Engineer, Search PersonalizationMountain View, CADesign and implement personalized user models to optimize for user happiness, including Neural Deep Retrieval Models, Deep Neural Network Ranking/Scoring models, User/Content Clustering Models, Large Language Models (LLM)-based Retrieval Augmented Generation Models, and more. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.