Software Engineer, MLOps - Machine Learning BatonSoftware Engineer, MLOps - Machine LearningSan Francisco, California$162,000–$216,000 / yearYou will build on the patterns and templates the team has already established, improve integration between the ML platform and Baton’s core transportation management platform, and make it easier for engineers to develop, ship, and maintain models end to end. Develop and Productionize Machine-Learning Models: Bring new machine-learning models into production, including developing select models from initial concept through deployment.
Software Engineer, MLOps - Machine Learning Baton (A Ryder Technology Lab)Software Engineer, MLOps - Machine LearningSan Francisco, CA$162,000–$216,000 / yearYou will build on the patterns and templates the team has already established, improve integration between the ML platform and Baton's core transportation management platform, and make it easier for engineers to develop, ship, and maintain models end to end. Develop and Productionize Machine-Learning Models: Bring new machine-learning models into production, including developing select models from initial concept through deployment.
Software Engineer, MLOps - Machine Learning Baton Trucking, Inc.Software Engineer, MLOps - Machine LearningSan Francisco, CA$162,000–$216,000 / yearYou will build on the patterns and templates the team has already established, improve integration between the ML platform and Baton's core transportation management platform, and make it easier for engineers to develop, ship, and maintain models end to end. Develop and Productionize Machine-Learning Models: Bring new machine-learning models into production, including developing select models from initial concept through deployment.
Machine Learning Staff Software Engineer, Search Personalization Google LLCMachine Learning Staff Software Engineer, Search PersonalizationMountain View, CADesign and implement personalized user models to optimize for user happiness, including Neural Deep Retrieval Models, Deep Neural Network Ranking/Scoring models, User/Content Clustering Models, Large Language Models (LLM)-based Retrieval Augmented Generation Models, and more. We"re 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.
Senior Staff Machine Learning Software Engineer, Search Ranking Google LLCSenior Staff Machine Learning Software Engineer, Search RankingMountain View, CAApplyshare linkCopy linkemailEmail a friendMinimum qualificationsBachelors degree or equivalent practical experience.8 years of experience with software development in one or more programming languages.7 years of experience testing maintaining or launching software products and 1 year of experience with software design and architecture.7 years of experience with AIML algorithms and tools deep learning and AIML modeling. Conduct applied research on novel modeling techniques to solve concrete challenges in content understanding such as identifying nuanced topics assessing content quality and understanding UGC.Collaborate with partner teams and cross-functional partners to integrate the content signals into production retrieval ranking and personalization systems.
Staff Machine Learning Compiler Engineer RivianStaff Machine Learning Compiler EngineerPalo Alto, California$206,000–$258,000 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
NewBattery Modeling & Algorithm Engineer Kforce IncBattery Modeling & Algorithm EngineerCupertino, CAThe Battery Modeling & Algorithm Engineer will be expected to use a combination of advanced mathematics, machine learning, electrical engineering, and control engineering knowledge to perform the follolwing duties. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
NewSheet Metal/Mechanical Engineer Roseville PrecisionSheet Metal/Mechanical EngineerRocklin, CAThe right candidate will have hands-on knowledge of sheet metal design and fabrication, SolidWorks, flat pattern development, bend calculations, tooling, forming, welding, routings, work instructions, fixtures, and production problem-solving. We encourage experienced sheet metal manufacturing engineers, mechanical engineers, manufacturing specialists, and senior sheet metal professionals with strong engineering and SolidWorks experience to apply.
Senior Software Engineer, Machine Learning Infrastructure HandshakeSenior Software Engineer, Machine Learning InfrastructureSan Francisco, CaliforniaYou’ll help teams move quickly from prototype to production while building the reliable, high-performance systems that power training, evaluation, and inference across Handshake. This team powers both Handshake’s core career marketplace and Handshake AI by building the shared infrastructure behind our production ML and AI systems.
Senior Machine Learning Engineer Comfy OrgSenior Machine Learning EngineerSan Francisco, CaliforniaWe're looking for someone who loves optimizing model inference to join us in building the core of ComfyUI - the most complex and bleeding-edge part of our engine. If you've worked with diffusion/LLM models before or built custom nodes for ComfyUI, that's awesome .
Machine Learning Engineer Fluidstack LtdMachine Learning EngineerSan Francisco, CABuild ML and LLM systems that run inside the companys operations: forecasting build timelines, flagging schedule risk, and extracting structure from vendor documents. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role youve applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Software Engineer, Machine Learning Platform ProfluentSoftware Engineer, Machine Learning PlatformEmeryville, CA$200,000–$330,000 / yearFounded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.
Senior Machine Learning Systems Engineer, Ranking Platform Reddit IncSenior Machine Learning Systems Engineer, Ranking PlatformCARemote$216,700–$303,400 / yearAs a Senior Software Engineer, ML Ranking Platform, you will design, implement and maintain highly robust, scalable, reliable and performant ranking systems that power personalized feeds, search, and other products at Reddit scale. Who You Might Have: 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language.
Senior Machine Learning Engineering Manager - Ads Predictions Apple IncSenior Machine Learning Engineering Manager - Ads PredictionsCupertino, CAPreferably, you have a strong track record of delivering high-impact response prediction systems (e.g., click-through rate, conversion rate, post-conversion optimization) at scale, and understand the nuances of optimizing for user engagement, relevance, and long-term value under latency constraints. In this role, you will lead the strategy and development of inference models that predict and optimize user interactions with ads, working across the full modeling stack-from data and model training pipelines to real-time serving and experimentation.
Staff Security Detection Engineer, Machine Learning SoFi Technologies IncStaff Security Detection Engineer, Machine LearningSan Francisco, CASolid understanding of security telemetry sources; identity and access (SSO, IGA, PAM), endpoint/EDR, network/proxy, cloud (AWS/GCP/Azure), and SaaS audit logs, and how to shape them into model features. What you'll do: Design, build, and maintain machine learning models for anomaly detection (unsupervised clustering, time-series and seasonality baselines, isolation forests, autoencoders, risk scoring) with measurable precision/recall targets.
Compiler Engineer - Machine Learning Compiler MythicCompiler Engineer - Machine Learning CompilerPalo Alto, CAExperience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
NewMachine Learning Engineer Motorola Solutions IncMachine Learning EngineerLos Angeles, CA$150,000–$180,000 / yearSilvus StreamCaster radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers. Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data.
Machine Learning Engineer OnyxMachine Learning EngineerSan Francisco, CaliforniaYou’ll be: Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms. We raised a $10M seed coming out of YCombinator, backed by Khosla Ventures (early/seed backers of OpenAI, Doordash, GitLab, etc.) and First Round Capital (Notion, Square, Roblox, etc.).
Senior Software Engineer, Machine Learning (Audio) SyntiantSenior Software Engineer, Machine Learning (Audio)Redwood City, CA$160,000–$190,000 / yearIndividual 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.
Machine Learning Compiler Engineer Apple IncMachine Learning Compiler EngineerSunnyvale, CAArchitect and develop the compiler for Apples proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine teamBachelor's degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM Proven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generation High-level proficiency in C++ and experience working with large, complex software systemsMasters or PhD degree in Computer Science, Computer Engineering, or a related field Demonstrated ability to ship high-quality production software Strong communication skills and ability to collaborate effectively across teams and functions Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution. As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, youll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more.