entry level machine learning engineer-remote SynergisticITentry level machine learning engineer-remoteBerkeley, CARemote$95,000–$154,000 / yearSynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair , and others), with offers in the $95k–$154k range depending on role and stack. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI.
Senior Machine Learning Applications and Compiler Engineer, LPX NVIDIASenior Machine Learning Applications and Compiler Engineer, LPXUs, CaliforniaIdeal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads. Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points.
Scientist/Engineer, Machine Learning / Bioinformatics Moonwalk Biosciences, Inc.Scientist/Engineer, Machine Learning / BioinformaticsSouth San Francisco, CA$130,000–$173,000It has raised $57 million led by Alpha Wave Ventures, and joined by other leading life sciences investors ARCH Venture Partners, Future Ventures, GV, Khosla Ventures and YK Bioventures. Moonwalk’s discovery platform has resulted in novel adipose targets from deep genetic and epigenetic associations, advanced AI prediction tools, and profiling of primary human samples.
Staff Machine Learning Platform Engineer Faire WholesaleStaff Machine Learning Platform EngineerSan Francisco, CA$246,500–$339,000 / yearWe’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
Senior Software Engineering, Machine Learning Operations TapestrySenior Software Engineering, Machine Learning OperationsMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
Senior/Staff Software Engineer - Machine Learning & System Optimization Zoox IncSenior/Staff Software Engineer - Machine Learning & System OptimizationFoster City, CA$226,000–$307,000 / yearOptimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another.
Machine Learning/Operations Research Platform Engineer Kinaxis IncMachine Learning/Operations Research Platform EngineerCAML/OR Platform Engineers at Kinaxis build the infrastructure and software that allows machine-learning models and optimization algorithms to be trained, deployed, scaled, monitored, and used in our Supply Chain applications while also contributing directly to the algorithms themselves. Our cloud-based platform Maestro ensures that the products we need - everything from medicine and cars to day-to-day items like toothpaste - make it to market and into our hands when we need them with minimal ecological footprint.
Senior Software Engineer, Machine Learning (Audio) SyntiantSenior Software Engineer, Machine Learning (Audio)Redwood City, CA$160,000–$190,000Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles.
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.
Senior Machine Learning Engineer RubrikSenior Machine Learning EngineerPalo Alto, CA$188,500–$282,700 / yearDesigning multi-stage inference pipelines that handle both real-time enforcement (inline prompt, response, and tool-call blocking) and high-throughput batch workloads (offline scoring, back-testing, corpus mining) while processing billions of tokens daily across Global 2000 customer agent fleets. Designing automated data curation pipelines that mine live customer environments (with privacy and tenancy guarantees) for high-value per tenant training examples, such as long-tail violations, near-miss policy edges, or novel agent behaviors, and routing them back into the training loop for each customer.
Senior Machine Learning Engineering Manager, Safety AI Systems RobloxSenior Machine Learning Engineering Manager, Safety AI SystemsSan Mateo, CA$295,250–$345,040 / yearYou’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
Research Engineer - Reinforcement Learning, Self-Driving Applied Intuition IncResearch Engineer - Reinforcement Learning, Self-DrivingSunnyvale, CA$126,000–$423,000 / yearSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. At Applied Intuition, you will: Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving.
AIML - Machine Learning Researcher, Speech Apple IncAIML - Machine Learning Researcher, SpeechCupertino, CADemonstrated expertise in machine learning research Publication record in relevant machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.) and/or relevant speech conference/Journals (e.g., Interspeech, ICASSP, ASRU, etc.) Hands-on experience working with deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics PhD, or equivalent practical experience, in Computer Science, or related technical field. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Machine Learning Manager, Feed Ecosystems Reddit IncMachine Learning Manager, Feed EcosystemsCARemote$253,300–$354,600 / yearYour team will improve relevance for new, low-signal, and logged-out users; help new posts and communities find the right audiences; and develop ML systems that balance personalization, discovery, and ecosystem quality across Reddit's 100,000+ active communities. 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.
Sr. Manager, Machine Learning Engineering-Applied Research PinterestSr. Manager, Machine Learning Engineering-Applied ResearchSan Francisco, CARemoteCommunication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields. Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
Field Applications Engineer FAE - Manufacturing Machine Vision & AIML Matroid IncField Applications Engineer FAE - Manufacturing Machine Vision & AIMLCAYou will work directly on factory floors with engineering, operations, and quality teams to solve complex inspection, automation, and process challenges-leveraging computer vision and AI/ML to improve quality, throughput, and efficiency. This role is highly technical and field-based, requiring frequent travel to customer facilities (50%+) to ensure successful implementation, integration, and performance in real-world production settings.
Machine Learning and Artificial Intelligence Undergrad Internships Apple IncMachine Learning and Artificial Intelligence Undergrad InternshipsCupertino, CAAs an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Experience crafting, conducting, analyzing, and interpreting experiments and investigations Expertise in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory Ability to collaborate with others Problem solving skills.
Machine Learning and Artificial Intelligence PhD Internships Apple IncMachine Learning and Artificial Intelligence PhD InternshipsCAAs an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Experience crafting, conducting, analyzing, and interpreting experiments and investigations Research-focused internships: Research experience in machine learning and a demonstrable record of publishing academic research in peer-reviewed venues.
Machine Learning and Artificial Intelligence Masters Internships Apple IncMachine Learning and Artificial Intelligence Masters InternshipsCupertino, CAAs an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Experience crafting, conducting, analyzing, and interpreting experiments and investigations Expertise in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory Ability to collaborate with others Problem solving skills.
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.