ML Engineer: 25-07155
$40 - $45 per hourAkraya, Inc.
Primary Skills: Computer Vision (Expert), Machine Learning (Advanced), PyTorch/TensorFlow (Proficient), Data Pipelines (Proficient), Python (Expert) Contract Type: W2 and C2C Location: Fremont, CA Duration: 6+ months Pay Range: $40 - $45 per hour. on W2 or C2C Job Summary We are looking for a Machine Learning & Computer Vision Engineer to tackle advanced perception problems within our manufacturing environments, utilizing our unique internal datasets. The ideal candidate will develop, optimize, and deploy models for automated visual inspection and factory automation, contributing to the high-speed, precision manufacturing of clients vehicles. This role calls for strong collaboration with engineering teams, hands‑on problem solving in factory settings, and continuous model improvement for real‑time, robust application in production. Key Responsibilities Develop and optimize advanced vision and perception models for manufacturing quality inspection and defect detection. Work with multi‑sensor input and robotics to refine object detection, localization, and attribute understanding in production environments. Train and adapt models on Clients‑specific datasets to meet high accuracy and robustness standards. Create domain‑specific solutions surpassing standard approaches, tailor‑made for Clients automation and manufacturing requirements. Collaborate closely with engineering teams for the seamless integration of ML models into manufacturing systems and their subsequent performance monitoring. Must‑Have Skills Proven expertise in Computer Vision, Machine Learning, and AI model development. Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow). Experience with large, domain‑specific datasets; expertise in data labeling, preprocessing, and augmentation. Domain Experience Required Experience in automation, robotics, or a closely related field is crucial for understanding the unique challenges and requirements of clients manufacturing environment. #J-18808-Ljbffr Akraya, Inc.
$320k - $405k
...quickly growing group of committed researchers, engineers, policy experts, and business leaders... ...team, you'll design and implement ML infrastructure that powers Claude safety.... ...staff to be in one of our offices at least 25% of the time. However, some roles may require...SuggestedWork at officeVisa sponsorshipFlexible hours$300k - $405k
...AI research company in New York seeks a Machine Learning Systems Engineer to build cutting-edge systems for training AI models. This role... ...salary range is $300,000 - $405,000 USD, with a hybrid work policy requiring 25% in-office presence. #J-18808-Ljbffr Menlo VenturesSuggestedWork at office$88k - $94k
...Compensation: Salaried Non-Exempt Position Description: Involved in engineering and administration of projects, in the Special Projects Division... ...site venues. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Work...SuggestedContract workFor subcontractorWork at officeRemote workLong distance$160k - $220k
...Job Description Job Description ML Engineer — Simula Location: San Francisco, CA (Onsite preferred) Compensation: $160,000 – $220,000 base + 0.5% – 1.0% equity Visa Sponsorship: None available Experience Level: 0–6 years Employment Type: Full-Time...SuggestedFull timeRelocationVisa sponsorship- ...ML Engineer Work Location: San Francisco, CA (Onsite – Hybrid) Job Description: Custom classification detection recognition models across stills and videos Custom embeddings models Metrics driven model selection and evaluations Internal benchmark establishment...SuggestedWork at officeLocal area
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- ...MLOps Engineer At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other... ...machine learning models and drive best practices across the ML lifecycle. You will play a key role in shaping the architecture...Work at office3 days per week
- ...Founding Ml Engineer Weave (YC W25) is building the definitive platform for understanding and improving how engineering teams work. We believe the way engineering output is measured today is fundamentally broken and that modern AI can give teams a far more accurate...
$250k - $400k
...possible. This is not research in isolation. It's building the engine that research runs on. You'll work closely with the wider team... ...What they're looking for Experience building and scaling ML systems in production Strong background across model training,...Remote work- ...Key Engineer For Ai-native Core Tools And Models We're looking for a key engineer with significant AI/ML + LLM experience to build AI-native core tools and models for agent-driven chip design workflows. Who You Are: You are excited about transforming the way chips...
- ...a clean trail of tests and dashboards behind. Required Qualifications: Expert-level PyTorch. Proven software engineer who loves ML; comfortable writing production code across the stack. Hands-on experience training or fine-tuning large language or other...Full timeContract workFlexible hoursShift work
- ...Founding Ml Engineer Skills: Python, PyTorch, NLP, LLMs, Information Retrieval, Entity Resolution, Text Classification We're building the gateway to the internet for AI agents. Our APIs already power hundreds of customers — and we went from 0 to $7M ARR in our first...
- ...with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to... ..., and/or membership inference attacks. Collaborate with our engineering team to deliver real-world applications of your algorithms for...Local areaShift work
- ...Platform Raindrop is the monitoring platform for AI agents. Engineering teams at some of the fastest growing AI companies including Replit... ...requests a day + growing. Architect, implement, and scale ML pipelines Quick iteration without compromising on quality...Temporary work
- ...ZK and ML Compiler Engineer San Francisco Bay Area We are at the forefront of Zero-Knowledge Machine Learning technology, developing breakthrough solutions that combine data-protective computation with advanced machine learning capabilities. Our compiler team plays...
- Job Overview Department: Engineering Location: San Francisco We're looking for an ML Inference Engineer with deep expertise in high-performance ML engineering. This is a highly technical, high-impact role focused on squeezing every drop of performance from generative...Visa sponsorshipRelocation package
- Reactor seeks an ML Inference Engineer in San Francisco to enhance performance on generative media models. In this role, you'll drive model performance, design in-house inference runtimes, and optimize neural network models. Required qualifications include a Bachelor's...Relocation package
- ...training pipelines. You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into... ...This is a hands‑on, high‑leverage role at the intersection of ML, software engineering, and scalable infrastructure. The Team The...
- ...intentional. What to expect This role is for a machine learning engineer who wants to work on the models that give LeLamp its... ...pipelines for training and deploying machine learning models Integrate ML systems with robotic hardware and embedded systems Improve robot...Immediate start
- We are seeking an agentic focussed ML Engineer to build the core agent intelligence layer for a heavily funded team of Google Brain alumni building the Claude code of industrial engineering. Whilst early stage, the team have already built a customer base including Tesla...
- Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments. Productionize ML models - integrate trained ML models with Production systems Build and manage ML pipelines - design, build, and maintain automated pipelines...Permanent employmentContract workLocal area
- A leading technology company in San Francisco is hiring an ML Engineer, Assessments, to develop assessment systems for various products. The role involves owning assessment algorithms and collaborating closely with the Assessment Design Lead and other teams to ensure the...
- ...sharpen the judgement of the people responsible for them. Cognitive enhancement, in the literal sense. About the Role As an Applied ML Engineer at Manifold, you'll build forecasting models that DoD action officers use to make decisions months out, on data that's messy,...
- ...& Responsibilities Design, build, and deploy production‑grade ML systems with end‑to‑end ownership of the model lifecycle from conception... ...a related field. 1-6 years of professional experience in ML engineering. Strong programming skills in Python (TypeScript experience is...Full time
- ...Now Compensation Not listed Posted April 1, 2026 Required Skills ML AI vector design multimodal systems SVG generation Requirements... ...Not mentioned Relocation Not mentioned About the Role ML engineering for AI vector design tools. Interested in this role? Apply directly...RelocationVisa sponsorship
- ...making large-scale distributed training seamless. The Team The ML Infrastructure team supports and accelerates PI’s core modeling... ...reliability. What We Hope You’ll Bring Strong software engineering fundamentals Experience building or operating job scheduling /...
- Role Overview Bucket Robotics is hiring a Machine Learning Engineer to push the frontier of CAD-native computer vision for manufacturing. You’ll work on the core ML systems that turn 3D geometry and synthetic data into reliable, production‑grade vision models deployed on...Shift work
- URun in San Francisco is searching for an ML Infrastructure and Platform Engineer. In this role, you will lead the architecture and scaling of our GPU compute platform from the ground up, ensuring high availability and low-latency inference. This is a founding technical...
- A leading AI research company is seeking a privacy engineer in San Francisco. You will protect user data while ensuring AI system efficiency, employing techniques like differential privacy and federated learning. Responsibilities include designing privacy-preserving algorithms...Relocation package
- ...Report to CEO | OpenAI for Physics | 5 Days Onsite Machine Learning Engineer Location: Onsite in San Francisco Compensation: Competitive... ...to hear from you. About the Role UniversalAGI is hiring an ML Engineer to help ship ML outcomes by owning the execution layer:...Work at officeFlexible hours1 day per week
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