Senior, Machine Learning Engineer - Camera Model TORC Robotics LLCSenior, Machine Learning Engineer - Camera ModelCA$177,300–$212,800 / yearWorking closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments. Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master's degree with 3+ years OR PhD with 1+ years of experience.
Machine Learning Engineer Machina Labs IncMachine Learning EngineerChatsworth, CA$160,000–$190,000 / yearRequired Background & Experience: Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph. Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
Machine Learning Scientist 4 - Generative Models, Evaluation Netflix IncMachine Learning Scientist 4 - Generative Models, EvaluationCA$300,000–$537,000 / yearApply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ("judges") that assess whether generated content meets quality bars. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.
Staff Machine Learning Engineer, Search Ranking Snap IncStaff Machine Learning Engineer, Search RankingSanta Monica, CA$229,000–$343,000 / year8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience. Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering.
Machine Learning Scientist 5- Forecasting Aggregation Netflix IncMachine Learning Scientist 5- Forecasting AggregationCA$466,000–$750,000 / yearWorking knowledge of ad-serving and campaign concepts - how campaigns are delivered and what creates delivery risk: targeting, frequency caps, contention, bidding, pacing, budget planning, and the core campaign objects/attributes; and the metrics that matter (reach, frequency, impressions, clicks, outcomes). You will build the machine learning models that augment our simulation-based engine for predicting campaign delivery - turning a slow, rules-based simulation into fast, accurate, learnable models of how campaigns deliver against real inventory.
Staff Machine Learning Engineer ProdegeStaff Machine Learning EngineerEl Segundo, CaliforniaA cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. You'll build production ML systems for a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards , powered by a data platform with 50M daily events, 500M daily pipeline records, a 100TB Iceberg lake, and 50 Kafka topics supporting both batch and real-time workflows.
3D Machine Learning Engineer FieldAI3D Machine Learning EngineerIrvine, CaliforniaWe bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Staff Machine Learning Engineer ZipRecruiter IncStaff Machine Learning EngineerSanta Monica, CARemote$205,000–$265,000 / yearPowered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. Org-Wide Technical Leadership: Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture of technical excellence, rigorous experimentation, and fast production delivery.
Machine Learning Engineer HangMachine Learning EngineerLos Angeles, CaliforniaHang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).
Machine Learning Scientist 5 - Ad Ranking Netflix IncMachine Learning Scientist 5 - Ad RankingCA$466,000–$750,000 / yearOur goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Machine Learning Engineer 5 - Ads Signals & Targeting Netflix IncMachine Learning Engineer 5 - Ads Signals & TargetingCA$466,000–$750,000 / yearOur new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. As one of the newest entrants in the Connected TV advertising space that's rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.
Machine Learning Scientist (L6) - Live Ads Netflix IncMachine Learning Scientist (L6) - Live AdsCALive advertising introduces a distinct class of problems: massive, unpredictable traffic spikes, global simultaneous delivery, hard real-time latency constraints, and the need to balance yield across direct and programmatic demand channels. The team spans three pillars, Ad Forecasting, Ad Ranking, and Ad Marketplace, and supports all ad surfaces, including live events such as sports, award shows, and cultural moments watched simultaneously by tens of millions of members around the world.
Senior Machine Learning Engineering Manager, Ad Platforms The Walt Disney CoSenior Machine Learning Engineering Manager, Ad PlatformsSanta Monica, CA$207,400–$278,100 / yearJob Summary: You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.
Machine Learning Engineer - Associate Voyager Space HoldingsMachine Learning Engineer - AssociateEl Segundo, CA$120,000–$170,000 / yearTo conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.
Machine Learning Engineer - Mid-Level Voyager Space HoldingsMachine Learning Engineer - Mid-LevelEl Segundo, CA$160,000–$210,000 / yearTo conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.
Machine Learning Engineer, Level 5 Snap IncMachine Learning Engineer, Level 5Los Angeles, CA$209,000–$313,000 / year5+ 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. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Machine Learning Researcher Rainmaker Technology CorporationMachine Learning ResearcherEl Segundo, California$160,000–$220,000 / yearThe opportunity set includes forecasting supercooled liquid water and cloud-seeding opportunities, assimilating multimodal observations into estimates of atmospheric state, improving microwave-sounder retrievals, predicting hail, learning from intervention outcomes, and finding other high-leverage applications across research and operations. You will establish how Rainmaker uses machine learning across the company: identifying the most valuable problems, determining which are ready for ML, building working models, and partnering with engineers and domain experts to turn successful research into operational systems.
Staff Tlm, Machine Learning, Sentry Tower ANDURIL INDUSTRIESStaff Tlm, Machine Learning, Sentry TowerIrvine, CA$220,000–$330,000 / yearAs the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources.
Manager, Machine Learning Engineering TalaManager, Machine Learning EngineeringCA$170,000–$210,000 / yearThis person will manage a team of Machine Learning Engineers responsible for building the platforms, frameworks, and infrastructure that enable our Data Science teams to securely train, deploy, monitor, and operate machine learning models at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia-building one of the most robust datasets on thin-file borrowers anywhere in the world.
Machine Learning Scientist 5 - Sales, Ads DSE Netflix IncMachine Learning Scientist 5 - Sales, Ads DSECA$466,000–$750,000 / yearWe're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace. As the ML lead for Sales productivity and automation, you'll own the technical vision and execution across areas such as: Workflow Automation: In partnership with Product, identify and automate high-friction points in the Sales workflow to reduce delays, eliminate manual work, and improve accuracy - so sellers spend less time on process and more time on selling.