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/Staff Computer Vision Engineer - Deep Learning Focus InterSources Inc.Senior/Staff Computer Vision Engineer - Deep Learning FocusMountain View, CAWe align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms.
Senior Applied Scientist-Ads Relevance Microsoft CorpSenior Applied Scientist-Ads RelevanceMountain View, CA$119,800–$234,700 / yearKDD- Knowledge Discovery and Data Mining, CIKM- Conference on Information and Knowledge Management, SIGIR- Special Interest Group on Information Retrieval, NeurIPS- Neural Information Processing Systems, CVPR- Computer Vision and Pattern Recognition, ICML International Conference on Machine Learning, ICLR- International Conference on Learning Representations, ICCV- International Conference on Computer Vision, and ACL- Association for Computational Linguistics). 4+ years of experience developing natural language processing or multimodal machine learning systems using deep learning, including hands-on experience with transformer-based small language models (SLMs) or large language models (LLMs).
NewSenior Product Manager - (Accounting/Finance ERP Experience required) JobotSenior Product Manager - (Accounting/Finance ERP Experience required)San Francisco, CA$140,000–$185,000 / yearThe ideal candidate will bring a unique blend of finance expertise, product management experience, and technical curiosity to partner with engineering, design, and go-to-market teams to build products that solve real-world business problems. Information 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.
NewRate Analyst, Expert PG&E Corporation CareersRate Analyst, ExpertOAKLAND, CAWith a primary focus on ensuring fair, equitable, and stable rates for our customers, the Rates department designs rate plans, conducts cost of service analyses, forecasts revenues, and analyzes trends and drivers impacting customer rates and bills. The Rates department within PG&E’s Customer & Corporate Affairs organization develops and provides expertise on gas and electric customer rates in regulatory proceedings at the California Public Utilities Commission (CPUC) and the Federal Energy Regulatory Commission (FERC).
Sr Staff Tech Lead, Machine Learning Engineer, Perception Waymo LLCSr Staff Tech Lead, Machine Learning Engineer, PerceptionMountain View, CA$298,000–$368,000 / yearWe have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Data Scientist RedolentData ScientistSunnyvale, CaliforniaDuration: 6 to 12+ Months Description The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates.
Senior Machine Learning Engineer Intuit IncSenior Machine Learning EngineerMountain View, CA$171,000–$231,500 / yearJoin a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. Create durable technical examples and drive best-practices adoption, including testing and observability, documenting reusable patterns for work built alongside AI agents.
Senior Software Engineer, CUDA Deep Learning Systems NVIDIA CorpSenior Software Engineer, CUDA Deep Learning SystemsSanta Clara, CACollaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability. Ways to stand out from the crowd: Deep expertise in performance internals and execution graphs of major deep learning training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron).
Member of Research Staff, Reinforcement Learning, Voleon Securities Voleon Capital Management LpMember of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CAYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Member of Research Staff, Reinforcement Learning, Voleon Securities The Voleon GroupMember of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CaliforniaYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Member Of Research Staff, Reinforcement Learning, Voleon Securities VOLEONMember Of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CAYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Audio Deep Learning Engineer femtoAIAudio Deep Learning EngineerSan Bruno, CaliforniaDevelop and optimize deep learning models for audio processing, including tasks like speech enhancement, beamforming, event detection, sound localization, voice identification, voice interfaces, noise reduction, echo cancellation, feedback cancellation, and more. This is a unique opportunity to work on challenging problems at the intersection of deep learning, model optimization, and embedded systems, while driving real-world impact in industries ranging from consumer electronics to automotive and beyond.
AI Product Manager Intern (Applied Machine Learning) - 2026 Summer (BS/MS) Beijing ByteDance Technology Co LtdAI Product Manager Intern (Applied Machine Learning) - 2026 Summer (BS/MS)San Jose, CATranslate real developer pain points from user interviews and community feedback into executable product specs and working demos via AI codingMinimum Qualifications: Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Contribute to product feature design and documentation for the Agent Harness layer - covering core modules including Agent Loop architecture, Memory / Context lifecycle, and Self-Improving mechanisms.
Machine Learning Research Intern 2027 PhonicMachine Learning Research Intern 2027San Francisco, CaliforniaWe've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence. You'll own a research direction end-to-end — from identifying the right problem to designing experiments, developing novel methods, and seeing results through to production impact.
AI Engineer - Reinforcement Learning Logical IntelligenceAI Engineer - Reinforcement LearningSan Francisco, CaliforniaWe’ve won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX.
Head of ML Mach9Head of MLSan Francisco, CaliforniaExperience leveraging large unstructured datasets, especially reality-capture datasets, to build data-driven products and flywheels. This is a hands-on leadership role: you'll set the technical vision for our strategy, mentor and grow a team of ML engineers and researchers, and own the throughline from hard research problems to shipped product capabilities.
Principal / Staff Robotics Perception Engineer Simbe Robotics, Inc.Principal / Staff Robotics Perception EngineerSan Francisco, CA$190,000–$240,000 / yearSimbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity. Lead the design, evaluation, integration, and optimization of perception systems used by Tally robots, including object detection, semantic and instance segmentation, depth estimation, tracking, sensor fusion, visual localization, and camera calibration.
NewStaff Machine Learning Engineer - Retention TaskrabbitStaff Machine Learning Engineer - RetentionSan Francisco, CA$170,000–$225,000 / yearThis is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Strong theoretical knowledge and hands-on experience in machine learning, particularly in search, ranking, recommender systems, pricing/elasticity modeling, or predictive analytics.
Founding Research Scientist, Robot Learning GRAMFounding Research Scientist, Robot LearningSan Francisco, CA$225,000–$300,000 / yearPhD in machine learning, robotics, computer science, applied mathematics, or a related field, or an equivalent record of original research demonstrated by publications, research systems, or deployed capabilities that can be examined during the hiring process. Trained an embodied model or policy using a versioned dataset and evaluated it on held-out tasks, environments, embodiments, tools, or agent configurations defined before model selection.