Senior/Staff Software Engineer - Machine Learning & System Optimization ZooxSenior/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.
ML Applied Scientist, Apple Services Engineering AI/ML Apple IncML Applied Scientist, Apple Services Engineering AI/MLCupertino, CAIn this role, you will drive technical advancement, influence product direction, and be part of the team that is responsible for bringing the latest advancements in Machine Learning, Natural Language Processing, as well as Generative and Agentic AI to drive major impact on how users discover Apple Media content on devices worldwide! Directly impact how millions of users discover content across the entire Apple ecosystem, including all devices (macOS, iOS, tvOS, watchOS, visionOS) and services, supporting dozens of languages globally.
Machine Learning Intern (Singapore) TETRAMEM INCMachine Learning Intern (Singapore)San Jose, CA$35–$45 / hourWe are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog compute-in-memory chips. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.
Senior Machine Learning Engineer KikoffSenior Machine Learning EngineerSan Francisco, CaliforniaProficient in building predictive models, performing statistical analysis, and utilizing machine learning algorithms to identify trends, patterns, and opportunities for optimization. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data sets, apply advanced data science techniques, and derive actionable insights.
Principal, Machine Learning Engineer Lila Sciences IncPrincipal, Machine Learning EngineerSan Francisco, CA$252,000–$374,000 / yearWithin Life Science AI (LSAI), ML engineers build and operate the systems that turn generative models and reasoning frameworks into production capabilities powering automated scientific discovery across Lila''s life science domains. You will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila''s ML infrastructure toward the next generation of capabilities.
Senior Machine Learning Engineer, Driving Behaviors Waymo LLCSenior Machine Learning Engineer, Driving BehaviorsMountain View, CA$213,000–$263,000 / 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.
Staff Machine Learning Platform Engineer Faire WholesaleStaff Machine Learning Platform EngineerSan Francisco, CA$246,500–$339,000 / yearWe’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
Senior Power and Performance Architect, Annapurna Labs, Machine Learning Hardware Amazon.com IncSenior Power and Performance Architect, Annapurna Labs, Machine Learning HardwareCupertino, CAWe pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. In this role, you will be responsible for developing and implementing power architecture solutions, optimizing power consumption, and managing thermal constraints for ML accelerator designs in Amazon data centers.
NewMember of Technical Staff - Machine Learning Infrastructure Engineer Preference ModelMember of Technical Staff - Machine Learning Infrastructure EngineerSan Francisco, CaliforniaSignificant experience and understanding of distributed systems principles, and have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes), building systems for high-throughput, low-latency workloads. Build evaluation and benchmarking infrastructure, monitoring, logging, and debugging tooling, and automated testing and deployment systems, so failures are caught early and infrastructure stays reliable as it scales.
Staff Machine Learning Engineer, Responsible AI Engineering Visa IncStaff Machine Learning Engineer, Responsible AI EngineeringFoster City, CA$169,100–$270,800 / yearAs an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Staff Machine Learning Engineer, Voice AI Together AIStaff Machine Learning Engineer, Voice AISan Francisco, CA$220,000–$280,000 / yearLead productionization of voice models at scale — design the serving architecture for serverless and dedicated endpoints, including batching strategies, streaming inference pipelines, and memory management tailored to real-time audio; own reliability and latency SLAs. Influence platform architecture across the organization — partner with platform engineering leadership to ensure the serving layer is built for the latency and reliability demands of real-time voice APIs; your technical decisions should raise the ceiling for the whole team.
Software Engineer, Backend/Applied ML (Safety & Integrity) Character.AISoftware Engineer, Backend/Applied ML (Safety & Integrity)Redwood City, CaliforniaCross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products. This includes areas like content classification (including AI-generated content), anomaly detection, risk scoring, behavior analysis, and developing safeguards for Generative AI systems (e.g., robust content filtering, bias mitigation techniques, and output monitoring).
NewStaff Machine Learning Engineer, Document & Vision Intelligence GEICO GENERAL INSURANCE COMPANYStaff Machine Learning Engineer, Document & Vision IntelligencePalo Alto, CA$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Lead Machine Learning Engineer The Walt Disney CompanyLead Machine Learning EngineerSan Francisco, CaliforniaDisney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. Algorithm development: Ideate, develop, iterate on, and productionize personalization algorithms, including core ranking, content and user understanding models and graphs, candidate retrieval, and post-ranking systems.
Machine Learning Engineer Intern - Scenario Simulation PlusAIMachine Learning Engineer Intern - Scenario SimulationSanta Clara, CAResponsibilities: Bridge the Sim-to-Real Gap: Develop and implement a translation layer that converts idealized simulator Ground Truth (GT) into realistic, "noisy" Bird’s-Eye View (BEV) embeddings. Optimize Simulation Throughput: Research and implement a "shortcut" pipeline that bypasses slow image/LiDAR rendering to generate BEV features directly from state data.
Machine Learning Engineer LatentMachine Learning EngineerSan Francisco, CaliforniaOur dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.
NewMachine Learning Engineer-Life Sciences Spark RecruitingMachine Learning Engineer-Life SciencesSan Francisco, CaliforniaProject delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. You'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity.
Senior/Staff Machine Learning Engineer, Planning PlusAISenior/Staff Machine Learning Engineer, PlanningSanta Clara, CA$130,000–$220,000 / yearWe’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
Machine Learning Engineer Iii, Search Relevance BoxMachine Learning Engineer Iii, Search RelevanceRedwood City, CA$175,500–$219,500 / yearYou'll collaborate with senior engineers, Product, Data, and Infra partners to productionize modern retrieval techniques and experimentation frameworks that directly impact how millions of users work. We're looking for a Machine Learning Engineer III to improve search quality end-to-end-signals, ranking, retrieval, and evaluation-while building scalable, low-latency services that serve queries in real time.
Staff Machine Learning Platform Engineer FaireStaff Machine Learning Platform EngineerSan Francisco, CA$246,500–$339,000 / yearWe're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. You'll be joining a small but deeply critical team that scales Faire's ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
Member of Technical Staff, Machine Learning SieveMember of Technical Staff, Machine LearningSan Francisco, CaliforniaAs a Machine Learning Engineer at Sieve, you'll own the entire ML lifecycle — from understanding customer problems, to designing datasets, improving models, building evaluation systems, and shipping production pipelines that deliver measurable improvements in dataset quality. We're looking for engineers who enjoy owning problems end-to-end, from understanding customer requirements through shipping production ML systems that measurably improve dataset quality.
Senior Machine Learning Engineer, Agent Oversight Scale AI, Inc.Senior Machine Learning Engineer, Agent OversightSan Francisco, CA$216,000–$270,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Director, Foundation Model Data Recipes Waymo LLCDirector, Foundation Model Data RecipesMountain View, CA$349,000–$431,000 / 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. Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
Senior/Staff Computer Vision Engineer - Deep Learning Focus Phantom AISenior/Staff Computer Vision Engineer - Deep Learning FocusMountain View, CaliforniaThe successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock RoboticsMachine Learning Engineer: Imitation and Reinforcement Learning for RoboticsSan Francisco, CaliforniaBacked by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
Machine Learning: Multimodal Foundation Models The Bot CoMachine Learning: Multimodal Foundation ModelsSan Francisco, CAImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesnt just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains. Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Senior Machine Learning Engineer AISense Inc.Senior Machine Learning EngineerMountain View, CA$185,000–$242,000 / yearAs a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research into production-ready features that power Otter's summarization and conversational intelligence products. Has extensive experience deploying, scaling, monitoring, and operating ML systems in production across training, inference, and serving infrastructure, including model versioning, rollback strategies, and performance regression detection while balancing cost, latency, and reliability constraints.
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 Engineer (GCP) IRC296887 GlobalLogic IncMachine Learning Engineer (GCP) IRC296887San Jose, CA$125,000–$135,000 / yearGlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. Disclaimer: GlobalLogic estimates the starting pay range for this role to be performed remotely to be $125,000 to $135,000 and reflects base salary only.
Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAOur team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. What youll do: Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams.
Senior Machine Learning Engineer Retell AI IncSenior Machine Learning EngineerSan Francisco, CA$225,000–$325,000 / yearInstead of basic automation that needs constant human tuning, we're creating intelligent AI "workers" that can act as frontline agents, QA analysts, and managers - continuously executing, monitoring, and improving customer interactions. Train & Tune Models - Fine-tune LLMs and audio models to maximize speed, accuracy, and production-readiness-pushing the frontier of real-time AI voice experiences.
Applied Scientist Microsoft CorpApplied ScientistMountain View, CA$102,100–$202,200 / yearDesign, implement, and evaluate machine learning and deep learning models, including Large Language Models (LLMs), Small Language Models (SLMs), and multimodal models for document understanding, content discovery, parsing, clustering, selection, and ranking. As a Data and Applied Scientist II, you will apply statistical, machine learning, and deep learning techniques to analyze and interpret multimodal content, develop features and models that improve system capabilities, and help scale AI solutions to large-volume production environments.
Director, ML Research Science (Adtech / Recommender Systems) CognitivDirector, ML Research Science (Adtech / Recommender Systems)San MateoProduction Experience : Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark). Deep Learning, LLMs & Model Tuning : Deep technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training and fine-tuning of deep neural networks.
Eval360 - Error Analysis Engineer Institute of Foundation ModelsEval360 - Error Analysis EngineerSunnyvale, CaliforniaThe ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released.
AI/ML Engineer - Model Inference GMAI/ML Engineer - Model InferenceSunnyvale, CaliforniaThe team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops.
Senior Applied Scientist Microsoft CorpSenior Applied ScientistMountain View, CA$119,800–$234,700 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
Staff Research Scientist, AdTech Product Innovation CognitivStaff Research Scientist, AdTech Product InnovationSan Mateo, CA$200,000–$270,000 / yearProduction Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark). Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
NewGEN AI ML OPS ENGINEER StaffWorthyGEN AI ML OPS ENGINEERMilpitas, CASecurity Clearance Required: NoVisa Candidate Considered: No COMPENSATION Base Salary - USD $110,000 to $120,000*** Never repost ***Full‑time Benefits - Full Relocation Assistance Available - No Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - NoCANDIDATE DETAILS5+ to 7 years' experienceSeniority Level - Mid‑Senior Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - NeverINTAKE SESSION There will not be an intake session call for this Bounty#J-18808-Ljbffr. Model Training and Evaluation: Develop and train AI models using cutting-edge machine learning and deep learning frameworks, and continuously refine and optimize these models to achieve superior performance.
ML Research Engineer, Foundation Models (Senior / Staff / Principal) Genesis Molecular AIML Research Engineer, Foundation Models (Senior / Staff / Principal)San MateoOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Bridge machine learning research and computational chemistry workflows , working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs.
Machine Learning Lead UmbaMachine Learning LeadSan Francisco, CaliforniaOur most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing automated model retraining and creating new projects based on your findings. This platform uses machine learning and big data to build credit scores to optimize risk exposures and allows users to apply, receive and repay microloans and through their smartphone.
AI/ML Machine Learning Engineer Lockheed Martin CorpAI/ML Machine Learning EngineerSunnyvale, CA$89,300–$157,435 / yearPay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 - $157,435. The successful candidate will have advanced Software Development experience with knowledge of: Agentic AI and LLM technologies, AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science and continued growth.
Staff Machine Learning Engineer ADOBE IncStaff Machine Learning EngineerSan Jose, CA$211,800–$306,625 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Sr Machine Learning Engineer AdobeSr Machine Learning EngineerSan Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In this role, you will work at the intersection of applied ML, large-scale cloud services, and GPU-optimized inference, partnering closely with Adobe Research and product engineering teams to translate cutting-edge models into r eliable, high-performance production services.
Senior research Scientist - Machine Learning Systems & Efficiency Engineer ADOBE IncSenior research Scientist - Machine Learning Systems & Efficiency EngineerSan Jose, CA$187,100–$270,950 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Photoshop ART is seeking a Senior researcher - Machine Learning Systems & Efficiency Engineer to join our R&D team focused on delivering practical, production-ready improvements in inference performance, latency, and cost efficiency across image editing applications.
Sr. Machine Learning Engineer 4 AdobeSr. Machine Learning Engineer 4San Jose, CaliforniaIn California, the pay range for this position is $183,300 - $265,350 In Washington, the pay range for this position is $165,600 - $239,725 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Machine Learning Research Engineer (MLRE) - Research AchiraMachine Learning Research Engineer (MLRE) - ResearchSan Francisco, CaliforniaWhile we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery.
Principal Machine Learning Engineer AtlassianPrincipal Machine Learning EngineerMountain View, California$209,700–$273,775 / yearOverview: As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks — designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
Sr Manager, Machine Learning Engineering, Firefly Services AdobeSr Manager, Machine Learning Engineering, Firefly ServicesSan Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $242,600 - $351,225 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Principal Machine Learning Engineer, Agent Harness - Meta Factory ADOBE IncPrincipal Machine Learning Engineer, Agent Harness - Meta FactorySan Jose, CA$261,800–$379,100 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Meta Factory is the core of that platform: the Agentic Builders Experience that defines how agents understand their goals, decompose work, use tools, evaluate their own outcomes, and improve over time.
Machine Learning Engineering Manager, Critical Harms Roblox CorpMachine Learning Engineering Manager, Critical HarmsSan Mateo, CA$295,250–$345,040 / yearAligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators.