NewMachine Learning Engineer II, Responsible AI Pinterest IncMachine Learning Engineer II, Responsible AISan Francisco, CA$138,905–$285,982 / yearThese range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.
Sr. Computer Vision Engineer (Deep Learning) Harbinger MotorsSr. Computer Vision Engineer (Deep Learning)Mountain View, CA$180,000–$240,000 / yearHarbinger 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. Harbinger 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 HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger's service providers, including providers of background checks, staffing services, and cloud services.
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.
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.
Senior Machine Learning Engineer - Model Inference AppleSenior Machine Learning Engineer - Model InferenceCupertino, CAYour responsibilities span the full server stack, including onboarding new use cases, optimizing inference across heterogeneous accelerated compute hardware, deploying services on Kubernetes, building and integrating inference engines and control-plane components, and ensuring seamless integration with Maps infrastructure. **Description** As a Software Engineer on the Apple Maps team, you will lead the design and implementation of large-scale, high-performance inference services that support a wide range of models used across Maps, including deep learning and large language models.
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.
Senior Manager, Machine Learning - Small Dollar Loans & Cash Line Upstart Holdings IncSenior Manager, Machine Learning - Small Dollar Loans & Cash LineSan Mateo, CARemote$238,400–$330,200 / yearDepending on your expertise, you could step in to lead one of several high-priority teams, such as: Cash Line: Leading the 01 ML innovation for our brand new subscription-based line of credit, building core underwriting and customer behavior models (churn, draw, default) in a domain with limited data and long feedback loops. Drive 01 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes.
NewMachine Learning Engineer, Multimodal - Intelligent Integrity TikTok IncMachine Learning Engineer, Multimodal - Intelligent IntegritySan Jose, CADevelop dedicated multimodal content understanding models to empower ad intent recognition, intelligent rule retrieval and accurate risk judgment, enhance advertisers creation experience, reduce non-compliant content non-detection risks, and protect ad ecosystem security. Responsibilities: Focus on ad content understanding and security, conduct algorithm R&D for large model implementation, and apply LLM/MLLM and other AIGC technologies to e-commerce and short-video ad content understanding to build a next-gen large model-based commercial intelligence review system.
Sr. Machine Learning Engineer Intel Corp.Sr. Machine Learning EngineerFolsom, CA$195,200–$361,200 / yearThis role sits at the intersection of research and engineering: the ideal candidate designs and implements algorithms for agent harness and post-training pipelines, develops RL environments and reward models, and conducts training runs to improve model capabilities for agentic applications. Small, efficient models run directly on the user's machine (AI PC, edge, on-prem, and beyond), keeping data private and token costs low, while powerful cloud models handle the hardest work: planning, reasoning, and complex problem-solving.
Machine Learning - Behavioral Modeling Palladio AIMachine Learning - Behavioral ModelingSan Francisco Bay Area, CaliforniaYou connect with users' pain points, needs, and aspirations throughout user journeys, measure success in user outcomes, and translate findings into more innovative and more engaging product experiences. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Google, and Chime, and shipped products used by billions.
Machine Learning Software Engineer Intern - Winter 2027 People Center IncMachine Learning Software Engineer Intern - Winter 2027San Francisco, CAPassion to learn and develop your skills, both in machine learning and software engineering.\n \nAdditional Qualifications\n\n Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.\n \nEven if you don't meet all of the requirements listed here, we still encourage you to apply. As an Engineering Intern, you will join the Machine Learning Team in Winter 2027 (Middle of January-April) to develop robust, well-designed products, implement new updates and features, and solve complex problems that affect our business and our clients.
Senior Architecture Modeling Engineer, AWS Machine Learning Accelerators Amazon.com IncSenior Architecture Modeling Engineer, AWS Machine Learning AcceleratorsCupertino, CAAs a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. As part of the ML accelerator modeling team, you will: Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug.
Staff Software Engineer, BigQuery Machine Learning Google LLCStaff Software Engineer, BigQuery Machine LearningSunnyvale, CAWe"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. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Software Engineer - Machine Learning FIGMASoftware Engineer - Machine LearningSan Francisco, CA$153,000–$376,000 / yearJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Whether you're building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma.
Machine Learning Engineer, Platform Brainco IncMachine Learning Engineer, PlatformSan Francisco, CAYou understand how machine learning actually works - not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. Youll build the machinery that keeps that promise: capturing production corrections, triaging failures to the component that caused them, and turning that signal into retraining and safe redeployment - automatically, across every use case.
Machine Learning Engineer, Ads HiggsfieldMachine Learning Engineer, AdsSan Francisco, California$165,000–$230,000 / yearTeam members are expected to work from our San Francisco office three full days per week , with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs.
Senior Machine Learning Engineer II - FlightAware (Remote) RTX CorpSenior Machine Learning Engineer II - FlightAware (Remote)CARemoteWithin Aviation Intelligence, FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, taxi durations, and more. As a Machine Learning Engineer on the Aviation Intelligence team, you will be building our next generation of Machine Learning models that will become new Foresight products, improving our existing models, and through this work, improving the operational efficiency of the world's largest airlines and airports.
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.
New(General Hire) Machine Learning Engineer Intern (Performance Monetization) - 2027 Summer TikTok Inc(General Hire) Machine Learning Engineer Intern (Performance Monetization) - 2027 SummerSan Jose, CAOur team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity. Global Monetization Product and Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok.