NewMachine Learning Engineer, Recommendation, E-Commerce Alliance TikTok IncMachine Learning Engineer, Recommendation, E-Commerce AllianceSan Jose, CABy cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. Support the rapid development of TikTok s e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development Minimum Qualifications.
NewMachine Learning Scientist Intern (TikTok-Local Services) - 2027 Start (PhD) TikTok IncMachine Learning Scientist Intern (TikTok-Local Services) - 2027 Start (PhD)San Jose, CAWe leverage POI data, geolocation, and large-scale location-based services (LBS) technologies to provide comprehensive LBS product and service capabilities for overseas businesses. TikTok Location Based Service Team s goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe.
Machine Learning Engineer Creatify LabMachine Learning EngineerMountain View, CaliforniaCreatify is building the world’s first end-to-end AI advertising agent—a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more. We have raised $24M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more.
Machine Learning Engineer, Marketplace Pricing Waymo LLCMachine Learning Engineer, Marketplace PricingMountain View, CA$175,000–$215,000 / yearSince 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. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Principal Machine Learning Scientist - Trajectory Generation General MotorsPrincipal Machine Learning Scientist - Trajectory GenerationMountain View, CA$269,400–$412,600 / yearBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Role: As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance.
Staff Machine Learning Engineer (Research Scientist) - DFAI PlaidStaff Machine Learning Engineer (Research Scientist) - DFAISan Francisco, CaliforniaPhD: 5–9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Machine Learning R&D Qualcomm IncMachine Learning R&DSan Diego, CA$140,800–$211,200 / yearWe are an interdisciplinary team with backgrounds in Computer Science, ML/AI, Electrical Engineering, Computer Engineering, Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging problems. Minimum Qualifications: Bachelor''s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
NewPrincipal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD) Genentech IncPrincipal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)South San Francisco, CA$192,500–$357,500 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact.
Machine Learning Engineer, Foundation Model Services Apple IncMachine Learning Engineer, Foundation Model ServicesSanta Clara, CAOur Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. Proficient in building and maintaining systems written in modern languages (eg: Golang, python) Bachelor's degree or higher in Computer Science or related technical field.
Engineering Manager, Machine Learning SentryEngineering Manager, Machine LearningSan Francisco, CaliforniaWe sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed.
Machine Learning Data Engineer Apple IncMachine Learning Data EngineerCupertino, CAIn this role, you will transform ambiguous data challenges into scalable processes, clear policies, and high-fidelity datasets that power diverse ML use cases, specifically focused on innovative consumer products and user-facing technologies. Experience managing or coordinating cross-functional projects spanning multiple technical teams or organizations, leading end-to-end data strategy for ML development lifecycle, including iterating rapidly to drive improvements.
Machine Learning Engineer - 3D Sensor Simulation ZooxMachine Learning Engineer - 3D Sensor SimulationFoster City, CAHere at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.
Machine Learning Systems Engineer — Sensor Algorithms TalentlabMachine Learning Systems Engineer — Sensor AlgorithmsSanta Clara, CaliforniaTalentLab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning , with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.
Machine Learning Devops - Cloud And Compute Cluster - R&D Support PathwayMachine Learning Devops - Cloud And Compute Cluster - R&D SupportPalo Alto, CARemotePathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won a sports championship, make sure to mention this in your application!
Machine Learning DevOps - Cloud and Compute Cluster - R&D Support PathwayMachine Learning DevOps - Cloud and Compute Cluster - R&D SupportPalo Alto, CARemote€60,000–€80,000Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won a sports championship, make sure to mention this in your application!
Head of Applied Machine Learning Gametime UnitedHead of Applied Machine LearningSan Francisco, CA$292,033–$343,568 / yearGametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. You will work closely with Product, Data, Engineering, and business partners to identify high-value opportunities, translate them into well-defined modeling problems, and deliver production-ready solutions.
NewStaff Machine Learning Engineer Pivotal SolutionsStaff Machine Learning EngineerSan Francisco, CaliforniaDeep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing. Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
Machine Learning Engineer (Staff) Sprinter Health IncMachine Learning Engineer (Staff)San Francisco, CAYou will define the blueprint for how ML moves from prototype to production at Sprinter, including our training and inference pipelines, serving patterns, feature workflows, monitoring, validation, retraining, and model governance practices. We're looking for a Staff Machine Learning Engineer to be Sprinter's first dedicated ML engineering hire and build the production systems that train, deploy, monitor, retrain, and serve machine learning models across the company.
Senior/Staff Machine Learning Engineer, Sensor Simulation Nuro IncSenior/Staff Machine Learning Engineer, Sensor SimulationMountain View, CA$193,930–$291,150 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Powered by the Nuro Driver, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
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.