NewMachine Learning Engineer - Measurement Signal and Privacy Technology TikTok IncMachine Learning Engineer - Measurement Signal and Privacy TechnologySan Jose, CAOur Ads Measurement Signal and Privacy team (MSP) is missioned to build our security and governance infrastructure and process for the ads system end-to-end while making sure our platform with large volume of various signals and data are constantly compliant with regional regulations across the world. Creating algorithms and data-driven solutions that utilize one of the world's richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting.
NewMachine Learning Engineer (Ads Core) - User Experience TikTok IncMachine Learning Engineer (Ads Core) - User ExperienceSan Jose, CAResponsibilities: Participate in and take charge of algorithm optimization for user ad experience in TikTok s global business, optimize the conversion efficiency between ad revenue and user experience by intervening in the ad bidding and ranking logic via signals, and realize the sustainable and sound development of the ad ecosystem; Responsible for the end-to-end technical iteration of advertising experience optimization, covering three core modules: sorting upgrade, duplication governance, and crowd strategy scheduling, and continuously improve the collaborative efficiency of experience and monetization through underlying model infrastructure and strategy innovation; Deeply explore user behavior feedback and experience pain points, and systematically solve core user experience issues through end-to-end technology upgrade, covering areas including engagement model optimization, implementation of personalized frequency distribution, and upgrade of user sensitivity modeling; Lead the underlying capability building based on LLM, implement user intent recognition and semantic understanding technology for advertising content, integrate multimodal representation capabilities with the large model as the core, and provide core capability support for end-to-end experience optimization strategies. Ads Core team is chartered to build key monetization components across various ad delivery stages: We build up ranking, bidding, budget, format, diagnosis and other frameworks that serve as a mid platform to enable other ad teams to iterate their products in parallel.
Senior Machine Learning Engineer Search Capabilities, Proactive AppleSenior Machine Learning Engineer Search Capabilities, ProactiveSanta Clara, CAOur team researches and builds deep search systems for Personal Question Answering — enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private. As part of the Applied ML team, you will advance Apple Intelligence through agentic search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more.
Staff / Principal Machine Learning Engineer, Serving - USA InworldStaff / Principal Machine Learning Engineer, Serving - USAMountain View, CaliforniaThey are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
Machine Learning Engineer - ML Training Platform Pluralis ResearchMachine Learning Engineer - ML Training PlatformSan Fransisco, CaliforniaReal-World Networking : Build systems that simulate and handle real-world network conditions — bandwidth shaping, latency injection, packet loss — while managing dynamic node churn and ensuring efficient data flow across workers with heterogeneous connectivity, because our training happens on consumer nodes and non co-located infrastructure, not in a datacenter. Ideally, you’ll have 5+ years of work experience with deep experience in: Infrastructure & Platform Engineering: Production experience with infrastructure-as-code (Pulumi/Terraform/CloudFormation) managing multi-cloud deployments, lifecycle orchestration, self-healing systems, Docker/Kubernetes (EKS), GPU workloads, and heterogeneous clusters at scale.
Machine Learning Engineer - Distributed ML Systems Pluralis ResearchMachine Learning Engineer - Distributed ML SystemsSan Fransisco, CaliforniaWe view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. Develop and optimize model-parallel training strategies (data, tensor, pipeline parallelism) with custom sharding techniques that minimize communication overhead.
Senior Staff Machine Learning Engineer Geico InsuranceSenior Staff Machine Learning EngineerPalo Alto, CA$150,000–$300,000 / yearResponsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
Member of Technical Staff - Machine Learning Engineer Asari AIMember of Technical Staff - Machine Learning EngineerSan Francisco, CaliforniaOur team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust .
Senior Machine Learning Research Engineer, AIML Apple IncSenior Machine Learning Research Engineer, AIMLCupertino, CAAs a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apples AI-driven experiences across both on-device and server environments. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints.
Machine Learning Engineer, Agentic Systems - Moveworks Moveworks IncMachine Learning Engineer, Agentic Systems - MoveworksMountain View, CAStructured concurrency - Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation. For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals.
Senior ML Ops Engineer Machine Learning Infrastructure Parallel Systems, IncSenior ML Ops Engineer Machine Learning InfrastructureLos Angeles, CA$150,000–$250,000 / yearAs we build the first fully autonomous, battery-electric rail vehicles, you will play a critical role in enabling the ML teams to develop, train, and deploy models efficiently and reliably in both R&D and real-world environments. You've also initiated the implementation of the remaining features, ensuring the infrastructure supports scalable, repeatable workflows for model experimentation and deployment in both R&D and production environments.
NewSenior AI/Machine Learning Engineer - Python | TheLoops Industrial and Financial Systems ABSenior AI/Machine Learning Engineer - Python | TheLoopsPalo Alto, CAYou will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team.
Senior Machine Learning Engineer - LLM Quantization & Deployment XPeng Inc.Senior Machine Learning Engineer - LLM Quantization & DeploymentSanta Clara, CA$174,720–$295,680 / yearDevelop VLA inference models, ensure numerical consistency with training models, and productionize LLM quantization methods, including PTQ, QAT, mixed-precision inference, INT8, FP4, and lower-bit techniques. XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics.
Machine Learning Engineer, AI Agent Platform Arta Finance Wealth Management LLCMachine Learning Engineer, AI Agent PlatformSan Francisco, CA$110,000–$180,000 / yearOur offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). We partner with leading financial institutions to power strategic initiatives that create real competitive advantage, particularly in making high-quality, personalised advice scalable.
Staff Machine Learning Engineer - LLM Quantization & Deployment XPeng Inc.Staff Machine Learning Engineer - LLM Quantization & DeploymentSanta Clara, CA$215,280–$364,320 / yearDevelop VLA inference models, ensure numerical consistency with training models, and productionize LLM quantization methods, including PTQ, QAT, mixed-precision inference, INT8, FP4, and lower-bit techniques. XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics.
NewResearch Engineer - Audio & Speech Models ZyphraResearch Engineer - Audio & Speech ModelsSan Francisco, CAAs a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models.
NewResearch Engineer - Language Model Pre-Training ZyphraResearch Engineer - Language Model Pre-TrainingSan Francisco, CAAs a Research Engineer - Language Model Pre-Training , you'll shape our language model roadmap through end-to-end pretraining development. Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale.
Agentic AI & Graph Machine Learning Research Engineer HRL Laboratories, LLCAgentic AI & Graph Machine Learning Research EngineerCalabasas, CA$128,000–$159,950 / yearExperience deploying scalable AI systems using modern LLMOps/AgentOps, distributed inference, GPU acceleration, model serving frameworks (e.g., vLLM, SGLang), observability, and cloud native infrastructure. Required Qualifications: Minimum: M.S. in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Network Science, or a related technical field plus 3+ years of relevant industry or research experience in AI/ML.
Senior Staff Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYSenior Staff Machine Learning EngineerPalo Alto, CA$150,000–$300,000 / yearResponsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
Staff Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYStaff Machine Learning EngineerPalo Alto, CA$130,000–$260,000 / yearCross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. This person will play key technical leadership roles for the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc.