NewSenior Machine Learning Engineer I Rocket Lab CorporationSenior Machine Learning Engineer ILong Beach, CA$125,300–$187,850 / yearTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. As a Senior Machine Learning Engineer I based at our Optical Systems sites in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing.
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.
NewSenior Machine Learning Engineer II Rocket Lab USASenior Machine Learning Engineer IILong Beach, California$153,000–$229,500 / yearFull timeAs a Senior Machine Learning Engineer II based at our Optical Systems sites in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.
NewSenior Machine Learning Engineer I Rocket Lab USASenior Machine Learning Engineer ILong Beach, California$125,300–$187,850 / yearFull timeImportant information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. As a Senior Machine Learning Engineer I based at our Optical Systems sites in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing.
Senior Machine Learning Scientist CotalitySenior Machine Learning ScientistIrvine, CaliforniaDistributed Computing: Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Ray, Dask, or Hadoop) to scale machine learning workloads and process massive datasets. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy.
Staff Software Engineer, Machine Learning ZiprecruiterStaff Software Engineer, Machine LearningSanta Monica, CARemote$180,000–$225,000 / yearExtensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs). Summary: With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features.
Machine Learning (Ml) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Union) University Of Southern CaliforniaMachine Learning (Ml) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Union)Los Angeles, CA$145,600–$240,240 / yearWhen extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
Machine Learning Analyst TechDigitalMachine Learning AnalystTorrance, CAThis role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making. Job Summary The Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.
Senior Software Engineer, Machine Learning ZiprecruiterSenior Software Engineer, Machine LearningSanta Monica, CARemote$140,000–$225,000 / yearExperience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs). Powered 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.
Rainmaker Fellow, Machine Learning Rainmaker Technology CorporationRainmaker Fellow, Machine LearningEl Segundo, CaliforniaAs a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.
Senior Machine Learning Engineer, Recommendation And Personalization CrunchyrollSenior Machine Learning Engineer, Recommendation And PersonalizationLos Angeles, CA$185,000–$225,000 / yearCross-Functional Collaborations: Experienced in partnering with data scientists and analysts, engineers, and product teams to deploy models that align with business objectives like increasing user retention and content consumption. Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar.
Principal Machine Learning Researcher (Physical AI) FreeformPrincipal Machine Learning Researcher (Physical AI)Los Angeles, CA$200,000–$400,000 / yearBasic Qualifications: 5+ years of experience in machine learning, applied research, or related technical fields or a PhD in machine learning, applied mathematics, physics, robotics, controls, or a closely related discipline. The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks.
Senior Machine Learning Engineer, Fraud Detection CrunchyrollSenior Machine Learning Engineer, Fraud DetectionLos Angeles, CA$185,000–$225,000 / yearIn this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth.
Machine Learning Experts - PhD - AI Training - US Prolific Academic LtdMachine Learning Experts - PhD - AI Training - USLos Angeles, CAWe'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. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development.
Senior Machine Learning Engineer TechStarsGroupSenior Machine Learning EngineerLos Angeles, CaliforniaWe are dedicated to leveraging AI to make a significant impact on healthcare, aiming to enhance patient care by making every patient's journey a cornerstone for healthcare decisions. Collaborating closely with product engineers, data scientists, analysts, and other key stakeholders, you will support data-driven decision-making and enhance business intelligence.
Senior Machine Learning Engineer - ESPN The Walt Disney CompanySenior Machine Learning Engineer - ESPNGlendale, CaliforniaWhether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. In this role, you will work closely with senior MLEs, data engineers, platform/SRE, and product teams to develop streaming data pipelines, feature computation systems, and ML‑adjacent services that operate reliably at scale.
Principal Machine Learning Engineer (Platform & Integrations)- League Of Legends Riot GamesPrincipal Machine Learning Engineer (Platform & Integrations)- League Of LegendsLos Angeles, CA$292,300–$437,900 / yearLead AI/ML serving architecture that scales to production load for Riot's player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures. ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale.
AI & Machine Learning Engineer SynergisticITAI & Machine Learning EngineerLos Angeles, CA$81,000–$150,000 / yearCurrently, 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. Since 2010, we've 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.
Senior Machine Learning Engineer The Capital Group Companies IncSenior Machine Learning EngineerIrvine, CA$201,683–$322,693 / yearWe build the insight layer on top of Capital Group's investment data: multi-agent systems that answer investment questions with citations, the evaluation methods that tell us whether those answers are any good, agents that take on expert analyst workflows end-to-end, and the extraction work that turns unstructured research, calls, and filings into reusable insight. Design the evaluations that tell us whether a Generative AI system is working: eval sets, success criteria, LLM-as-judge and its failure modes, and the judgment to know when a number measures what you think it does.
Scientist, Staff (Machine Learning & Simulations) ENCHANNEL MEDICAL LTDScientist, Staff (Machine Learning & Simulations)Irvine, CAThey will be responsible for designing, developing, testing, and improving cardiac simulations used for treating cardiac arrhythmia and collaborating closely with a multidisciplinary team to support system integration and product feature advancements. This Scientist, Staff (Machine Learning & Simulations), will be a key contributor to our algorithm team, working on innovating and developing new research and product features for our cardiac electrophysiology mapping system.