Machine Operator JobotMachine OperatorSanta Fe Springs, CA$23–$32 / hourInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. The Entry-Level Machine Operator will support daily production by safely operating cutting and processing equipment used to prepare aerospace-grade materials.
Industrial Machine Operator - Great Benefits + $1500 Signing Bonus Davis Wire CorporationIndustrial Machine Operator - Great Benefits + $1500 Signing BonusIrwindale, CAAs the largest wire manufacturer in the western United States, our impressive range of products are used in a wide variety of fields, including agriculture, construction, transportation, communications and industrial applications. Use basic processes to set up, adjust, and operate assigned machines and auxiliary equipment to produce wire and wire products.
Machine Operator Davis WireMachine OperatorIrwindale, CA$19–$20 / hourFull timeThis position will provide the successful candidate with the chance to apply their knowledge, learn new skills, and work as a team within a fast-paced and safe environment. Our manufacturing firm is seeking a Machine Operator for Wire Drawing.
NewURGENT Rust Engineer Opportunity! JobotURGENT Rust Engineer Opportunity!Santa Monica, CA$125,000–$175,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
NewDirector, AI Strategy Architect KPMGDirector, AI Strategy ArchitectLos Angeles, CA$204,725–$370,530 / yearDeep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation frameworks, prompt versioning, routing, and cost optimization), AI governance, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices. Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems, integrating complex RAG pipelines, and connecting GenAI to proprietary enterprise data (Knowledge Graphs, Vector Databases) that handle complex, dynamic tasks and conversations.
Real Estate Economist Good Life Housing Partners, LLCReal Estate EconomistLos Angeles, CAFull timeDevelop predictive financial models using econometrics and machine learning to forecast rent growth, occupancy, and asset performance across student housing and multifamily portfolios; Conduct quantitative risk analysis to evaluate market volatility, interest rate exposure, and liquidity constraints, informing capital allocation and hedging strategies; Analyze demographic, enrollment, and migration trends to assess long-term housing demand and guide site selection and development timing; Evaluate policy and regulatory impacts, including zoning, tax incentives, and rent control, on investment feasibility and asset valuation; Integrate macroeconomic indicators into dynamic forecasting tools that support acquisition timing, portfolio rebalancing, and strategic planning; Integrate macroeconomic indicators into dynamic forecasting tools that support acquisition timing, portfolio rebalancing, and strategic planning; and. Candidate must have at least a Master’s degree in Economics, Finance, or Financial Engineering, with 12 months of Investment Analyst or Economist experience working in the real estate industry.
NewDirector of R&D Business Development Gables Search GroupDirector of R&D Business DevelopmentLos Angeles, CA$170,000–$200,000Experience of RF signal propagation, channel modeling, digital communications, RF sensing, signal analysis, machine learning, and associated signal processing technologies is desired, as well as MIMO systems and mesh networking knowledge would be considered a definite plus. They would like this individual to perform the following overall responsibilities within the CTO’s office: ·Lead and increase the level of government R&D funding in the company; ·Oversee the company’s technology roadmap under the direction of the CTO.
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.
Staff Machine Learning Engineer Cohere Health Technologies LLCStaff Machine Learning EngineerCARemote$225,000–$245,000 / yearIn this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and deploy production-grade ML systems that directly impact how members and providers experience Cohere Health at the front door of care. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams.
Staff Machine Learning Systems Engineer, Embeddings Platform Reddit IncStaff Machine Learning Systems Engineer, Embeddings PlatformCARemote$253,300–$354,600 / yearAs a Staff Machine Learning Engineer, you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production.
NewStaff Machine Learning Engineer - League of Legends Riot Games IncStaff Machine Learning Engineer - League of LegendsLos Angeles, CAYou will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches.
Machine Learning Engineer 5 - Globalization Netflix IncMachine Learning Engineer 5 - GlobalizationCA$466,000–$750,000 / yearWe are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. You will partner with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact through efficient, production-ready ML solutions.
Lead Machine Learning Engineer - News The Walt Disney CompanyLead Machine Learning Engineer - NewsGlendale, 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. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations.
Staff Machine Learning Engineer SamsaraStaff Machine Learning EngineerLos Angeles, CARemoteYou believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
Principal Machine Learning Engineer Goodrx Holdings IncPrincipal Machine Learning EngineerCA$253,000–$404,000 / yearGoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices, such as reading and adhering to the security policies and procedures, being vigilant and observant of potential security threats, etc.
Machine Learning Engineering Manager - Ads Engagement Modeling Reddit IncMachine Learning Engineering Manager - Ads Engagement ModelingCARemote$230,000–$322,000 / yearTeam overview: The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.
Staff Machine Learning Engineer, Ads Measurement Modeling Reddit IncStaff Machine Learning Engineer, Ads Measurement ModelingCA$230,000–$322,000 / yearAs critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations. We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology.
Staff Machine Learning Engineer Unity Software IncStaff Machine Learning EngineerCA$167,200–$250,800 / yearWhile 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. Do low-level performance work: write and tune WebGPU compute shaders (WGSL) and, where relevant, native kernels (Metal, Vulkan/SPIR-V compute, CUDA); profile with browser and platform tools (Chrome/Dawn GPU traces, PIX, Instruments/Metal System Trace, Snapdragon Profiler, Nsight, RenderDoc), and eliminate bottlenecks at the op and memory-bandwidth level.
Senior Staff Machine Learning Engineer, ML Understanding Reddit IncSenior Staff Machine Learning Engineer, ML UnderstandingCARemote$266,000–$372,400 / yearDrive Cross-Team Integration & Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics. Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior).
NewMachine Learning Engineer Transcarent Inc.Machine Learning EngineerCAYou will partner closely with engineering leadership, product, and cross-functional stakeholders to translate ambiguous business problems into scalable technical solutions, and serve as a multiplier for the broader engineering organization through mentorship, design review, and technical influence. You should be comfortable operating in a fast-moving environment, partnering closely with product, engineering, clinical, data, and business stakeholders to deliver AI/ML solutions that improve the Member experience and support Transcarent's mission to measurably improve health and care.
Machine Learning Engineer Staff & Principal Tubi IncMachine Learning Engineer Staff & PrincipalCA$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
Machine Learning Engineer - Mid-Level Voyager TechnologiesMachine Learning Engineer - Mid-LevelEl Segundo, CaliforniaTo 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). • Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization.
Machine Learning Engineer - Mid-Level Voyager Space Holdings, Inc.Machine 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). Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization.
Lead Machine Learning Engineer Serve RoboticsLead Machine Learning EngineerLos Angeles, CaliforniaBy optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.
NewMachine Learning Scientist 4/5 - Generative Models Netflix IncMachine Learning Scientist 4/5 - Generative ModelsCA$466,000–$750,000 / yearResponsibilities: Design rigorous experiments to test hypotheses, from setup through statistical validation - e.g., comparing two summary-generation algorithms with limited sample sizes, accounting for experimental limitations, and drawing sound conclusions. 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.
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 Engineer, Generative ML , Level 5 SnapMachine Learning Engineer, Generative ML , Level 5Santa Monica, CaliforniaOur 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.
Machine Learning Engineer, Level 4 Snap IncMachine Learning Engineer, Level 4Los Angeles, CA$173,000–$259,000 / yearThe 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. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
NewMachine Learning Engineer, Level 3 Snap IncMachine Learning Engineer, Level 3Los Angeles, CA$118,000–$176,000 / yearThe 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. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day.
Machine Learning Engineer GitHub IncMachine Learning EngineerCA$107,700–$285,900 / yearYou will be responsible for identifying new trends relating to safety, fraud and abuse on GitHub, building agentic solutions to detect this abuse at scale, identifying vulnerabilities in GitHub that lead to abuse and helping to measure the impact of our work to safeguard the platform. Design, build and deploy agentic solutions that leverage large language models to detect and prevent fraud, abuse, and security threats at scale - applying LLMs to problems such as content classification and multi-step agentic investigation.
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.
Sr. Machine Learning Ops Engineer (Director) CIM Group IncSr. Machine Learning Ops Engineer (Director)Los Angeles, CA$175,000–$225,000 / yearThis role is responsible for building and operating the firms ML Ops platform on Databricks, with a strategic focus on productionizing GenAI/LLM solutions including Retrieval-Augmented Generation (RAG) systems and vector database implementations. The ideal candidate demonstrates proven experience with model pipeline and registry tools, including the ability to detect and proactively prevent model drift, automate comprehensive model monitoring, and consistently ensure model accuracy.
Lead Machine Learning Engineer, Ads Research The Walt Disney CoLead Machine Learning Engineer, Ads ResearchGlendale, CASkip to main content Go to Menu Home Our Work Our Locations Our Culture Students Search Jobs What would you like to do? Go to Menu Home Our Work Our Locations Our Culture Students Search Jobs What would you like to do?
Principal Machine Learning Engineer, Content ML, Level 7 Snap IncPrincipal Machine Learning Engineer, Content ML, Level 7Los Angeles, CA$276,000–$414,000 / yearThe 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. 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ years of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.
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.
Machine Learning Engineer, Causal Inference, Level 5 SnapMachine Learning Engineer, Causal Inference, Level 5Santa Monica, California5+ years of post-Bachelor’s experience in machine learning, with hands-on experience in causal inference or experimentation; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Knowledge, Skills & Abilities: Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables).
Machine Learning User Research Scientist (Ph.D. required) Exponent IncMachine Learning User Research Scientist (Ph.D. required)Los Angeles, CA$130,000–$135,000 / yearDemonstrated experience and expertise in one or more of the following areas: Advanced sensing technology Networking data analysis and visualization Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB Experience in instrumentation, data acquisition, and /or data processing Operations optimization Machine learning data set design or optimization Dynamic system modeling and control Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms. D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics).
Machine Learning Scientist - AppleCare WW Demand Planning Apple IncMachine Learning Scientist - AppleCare WW Demand PlanningCAMaster's or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field with 3+ years of industry experience in deploying Machine Learning models OR Bachelor's degree in a quantitative field with 6+ years of industry experience in deploying Machine Learning models. Data Systems: Expert-level SQL skills and experience working with large-scale distributed data processing frameworks (e.g., modern cloud data warehouses like Snowflake, Oracle, Spark, Hadoop, etc.).
Principal Machine Learning Engineer Cisco Systems IncPrincipal Machine Learning EngineerCA$291,500–$369,100 / yearProven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
Machine Learning Engineer Silvus TechnologiesMachine Learning EngineerLos Angeles, CaliforniaBachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD). From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data.
Staff Machine Learning Engineer - Game Tech Group, ML Platform Riot Games IncStaff Machine Learning Engineer - Game Tech Group, ML PlatformLos Angeles, CAAs a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot's ML platform. The ML Platform team builds and operates the shared infrastructure behind Riot's AI ecosystem, including model serving, orchestration, feature management, and deployment workflows.
Machine Learning Systems Engineer Motional IncMachine Learning Systems EngineerCARemote$144,000–$192,000 / yearOur team is behind some of the industry''s largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world''s first robotaxi pilot, and operation of the world''s longest-standing public robotaxi fleet. We aren''t just developing driverless cars; we''re creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect.
Machine Learning Engineer – Gurobi Scheduling Optimization (Hybrid) Match Made TechMachine Learning Engineer – Gurobi Scheduling Optimization (Hybrid)Los Angeles, CaliforniaModel Real-World Complexity: Translate intricate scheduling rules — labor laws, coverage, shift constraints — into elegant, scalable mathematical formulations. Build the Core Optimization Engine: Design and implement robust optimization models using Gurobi, CPLEX, OR-Tools, or similar solvers.
Machine Learning Engineer, Vision Products Software Apple IncMachine Learning Engineer, Vision Products SoftwareLos Angeles, CAPhd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.) Strong experience with deep learning, particularly in natural language processing and/or multimodal models Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation Familiarity with ranking, retrieval, and personalization algorithms Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus) Experience integrating ML models into production systems Strong communication skills and the ability to collaborate across disciplines Curiosity, pragmatism, and a product-oriented mindsetExperience with conversational AI systems or interactive ML-driven experiences Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction) Familiarity with Apple platforms, frameworks, or ML infrastructure Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products. In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life.
Machine Learning Engineer HadrianMachine Learning EngineerLos Angeles, CA$160,000–$250,000 / yearWhat sets you apart: • Master's Degree in Computer Science with focus in Artificial Intelligence or Machine Learning • Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning • Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications • Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks • Prior experience with distributed training using cloud infrastructure • Prior experience with visual document understanding and layout analysis • Published research or achieved SOA results on an ML application • Prior experience with multi-modal deep learning models. What You'll Do: • Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis • Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users • Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation • Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications.
Machine Learning Engineer Hadrian AutomationMachine Learning EngineerTorrance, California$160,000–$250,000 / yearWe are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Machine Learning Engineer Paramount Skydance CorpMachine Learning EngineerBurbank, CA$130,200–$195,300 / yearDistributed Training Leadership: Lead the implementation and optimization of Ray/AnyScale, providing a unified compute layer for batch processing, model training, and reinforcement learning. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
Sr Machine Learning Engineer Teklead CorpSr Machine Learning EngineerAgoura Hills, CAWork on state of the art Machine Learning, Natural Language Processing and Gen AI projects. Join our Tech hub and work in a collaborative environment where talent is valued and creativity is encouraged.
Lead Machine Learning Operations Engineer Paramount Skydance CorpLead Machine Learning Operations EngineerBurbank, CA$157,000–$235,000 / yearSolid knowledge of end-to-end ML systems, including training data, features, model artifacts, offline validation, online serving, post-deployment metrics, and business outcome measurement. Within the first 90 days, you will have assessed the current production ML operational landscape, identified the highest-risk gaps, and established a prioritized roadmap for observability, traceability, deployment safety, and incident response.
Camera Software- Sr. Machine Learning Research Engineer Apple IncCamera Software- Sr. Machine Learning Research EngineerCAIn this role, you will work hands-on with diffusion models, transformers and next-gen generative techniques, while collaborating closely with product, design and research teams to bring your ideas to life. Develop comprehensive evaluation frameworks including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.