Senior Software Engineer, Machine Learning Platform ChimeSenior Software Engineer, Machine Learning PlatformSan Francisco, CARemoteOur in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company.
Machine Learning Engineer, Speech LLM Training - San Francisco PlaudMachine Learning Engineer, Speech LLM Training - San FranciscoSan Francisco, CaliforniaHave a proven track record of building and training large-scale audio or speech models from the ground up, whether that involves unified SpeechLLMs, advanced ASR, expressive TTS, or generative audio architectures. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.
Distinguished Machine Learning Engineer, Customer Intelligence And Recommendation Geico InsuranceDistinguished Machine Learning Engineer, Customer Intelligence And RecommendationPalo Alto, CA$150,000–$300,000 / yearFactors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate.
Staff Applied Machine Learning Engineer zaimlerStaff Applied Machine Learning EngineerSan Mateozaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. You'll serve as the technical bridge between our research and applied engineering teams — translating cutting-edge ideas into robust, scalable systems while setting the strategic direction for how we train, evaluate, and deploy models.
Senior Machine Learning Engineer Kinetic AutomationSenior Machine Learning EngineerCosta Mesa, CAWorking knowledge of transformer and LLM building blocks applied to vision, including self-attention, positional encodings, tokenization, and mapping these ideas to vision models (e.g., ViT, DETR, Mask2Former). The Work: Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases.
NewManufacturing Process Engineer Strand Products IncManufacturing Process EngineerVentura, CAThe Manufacturing Process Engineer is responsible for owning, improving, validating, and sustaining the manufacturing processes used to produce high-precision wire and cable assemblies at Strand Products, a 100% employee-owned manufacturer serving the medical device, aerospace, and defense industries. Success in this role is measured by the ability to create stable, scalable, and efficient production processes; convert automation and continuous-improvement opportunities into sustained results; and ensure NPI programs transition cleanly into sustaining production.
NewResearch Engineer - Brain Computer Interface Models ZyphraResearch Engineer - Brain Computer Interface ModelsSan Francisco, CAAs a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain.
Machine Learning Engineer - Ads TwitterMachine Learning Engineer - AdsPalo Alto, CA$180,000–$440,000 / yearRESPONSIBILITIES: Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. We're looking for individuals who have built exceptional advertising products and systems at a massive scale across bidding, auction, marketplace, ranking, prediction, and product.
NewMachine Learning Engineer HyperboundMachine Learning EngineerSan Francisco, CaliforniaYou'll spend most of your time working fine-tuning and running open source models in production, pushing models on-device, and building the evaluation frameworks that tell us whether a change actually worked instead of trusting our gut. We don't just record what happens on a call, we change what happens next, turning real selling behavior into targeted roleplays, coaching, and workflow changes that make reps better without adding a single layer of management overhead.
Software Engineer, Machine Learning Infrastructure - Gen AI DoorDash IncSoftware Engineer, Machine Learning Infrastructure - Gen AISan Francisco, CA$137,100–$201,600 / yearDoorDash's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
Senior Staff Software Engineer, Machine Learning, ML Training Google LLCSenior Staff Software Engineer, Machine Learning, ML TrainingSunnyvale, CA$262,000–$365,000 / yearWere 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. Googles revolutionary Cloud TPUs were designed from the ground up to accelerate machine learning workloads, providing the computational power to train and run machine learning models in a fraction of the time and cost conventionally required.
NewSignal Integrity Engineer Amphenol TCSSignal Integrity EngineerSanta Clara, CA$80,750–$214,500 / yearAmphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. Amphenol Cable Backplane System group is the market leader for high speed, high bandwidth integrated cable and connector systems for the AI/Machine Learning market not excluding (Mobile Networks, Storage, Servers, Routers, Switches, etc.).
Machine Learning Infrastructure Engineer, Safeguards Research Anthropic PBCMachine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CA$350,000–$500,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Senior Machine Learning Infrastructure Engineer, Embedding Platform Reddit IncSenior Machine Learning Infrastructure Engineer, Embedding PlatformCARemote$190,800–$267,100 / yearAt the senior level, you will own major technical components end to end: designing models, implementing training and evaluation pipelines, and driving production deployment in close partnership with ML platform, product, and cross-functional ML teams. Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact.
1.65 Senior Machine Learning Platform Engineer Field AI Inc1.65 Senior Machine Learning Platform EngineerIrvine, CAWe 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-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Machine Learning Video Codec Algorithm Engineer Apple IncMachine Learning Video Codec Algorithm EngineerCupertino, CAThis role demands a dedicated individual with strong analytical and creative problem-solving skills, as well as a deep passion for video coding and processing technologies. We are seeking a highly motivated and hardworking individual with a passion for solving technical challenges to join our team as a Video Codec Algorithm Engineer.
Machine Learning Infrastructure Engineer, Safeguards Research AnthropicMachine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
Physical Design Engineer, Machine Learning Apple IncPhysical Design Engineer, Machine LearningSan Jose, CACollaborating cross-functionally with design, power, post-silicon, CAD, software, and machine learning teams in an engaging and rewarding environmentMinimum BS and 3+ years of relevant industry experience Experience with optimization algorithms and programming in Python or C/C++ Academic or industry experience in physical designPractical experience with a range of ML approaches including classical/traditional models, GNNs, transformers, diffusion models, and/or reinforcement learning Experience building agentic systems, LLM-based agents, tool-calling/function-calling, multi-agent orchestration, or autonomous decision-making loops Experience integrating ML models or agents into EDA tool flows via scripting (Python/TCL) or APIs Masters or PhD with relevant publications in Machine Learning and/or EDA algorithms Excellent communication and organizational skills. Job responsibilities include: Applying machine learning and advanced algorithms to solve hard, high-impact problems across the physical design flow: RTL and logic synthesis, floorplanning, place and route, timing/noise/power/thermal analysis, voltage drop, and design for manufacturing/yield.
Staff Machine Learning Engineer Intuit IncStaff Machine Learning EngineerMountain View, CA$230,000–$250,000 / yearYou'll help build the AI capabilities that every product team depends on - long-term memory systems that let AI experiences retain context and personalize over time, and evaluation frameworks that make model quality and regressions measurable at scale. Besides these core AI capabilities, you'll get to work at the frontier of what AI-native products can be: building agent builder frameworks, embedding AI directly into product experiences, and pushing on cutting-edge agentic AI development.
AI/Machine Learning Engineer - Python - Loops Industrial and Financial Systems ABAI/Machine Learning Engineer - Python - LoopsPalo Alto, CAWe are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.