Machining engineer jobs in California

- 20,734 jobs

Senior Line Engineer
United Airlines 4.6
Machining engineer job in Los Angeles, CA
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they're well taken care of and ready to get our customers to their desired destinations. If you're ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities Senior Line Engineers are part of a service engineering team that provide 24/7 engineering technical support for United Airlines Worldwide fleet of operational aircraft to ensure the timely return to service. Provide engineering support for a wide range of aircraft systems, maintenance programs, engines as well as operational engineering functions. Studies, analyzes, and seeks solutions to problems related to the design, operation, maintenance, performance, modification, or repair of aircraft, and their components. Uses a structured, logical, and analytical approach in problem solving. Defines maintenance program, configuration, and serviceability criteria ensuring safe and legal operations. Analyzes and implements regulatory requirements. Evaluates the effects of modifications or new equipment on reliability and performance. Evaluates the benefits of the cost impact of a fleet decision to ensure an optimum balance of cost, asset utilization, quality, and reliability. Authors, designs, tests, and manages projects. Communicates with customers on technical issues, work scope recommendations, and failure investigations. Interfaces with internal and external organizations regarding specific aircraft and component issues. This position leads and develops potentially complex solutions and implementation plans, project justification, cost/benefit analysis, management of project implementation, technical support, and obtaining FAA approvals as required. Coordinate work with other operational groups to ensure airworthiness, safety, regulatory compliance, operational reliability, and operational efficiency. Organize and manage the priorities for assigned responsibilities and accomplish the work processes to meet all the deliverables for operational needs, projects, and program changes/technical specification revisions. Shifts are dependent on work location and assignment and will be designated during the interview process as required. It is important to note that shifts may change based on the needs of the operation. Work Schedule: 7.00pm PST- 6.30am PST Qualifications What's needed to succeed (Minimum Qualifications): Bachelor's degree or related experience in Engineering (Mechanical, Electrical, Aerospace), related technical field or equivalent relative work experience Senior Line Engineer I: 5-8 years Senior Line Engineer II: 8 years + Ability to interpret complex and technical Engineering and OEM documents. Highly detailed level project development and management for regulatory compliance modifications, and overall ownership of specific systems Must have the ability to communicate detailed, technical information under time-bound and stressful situations. Successful candidate will have working knowledge of airline or OEM operations. Knowledge of Code of Regulations (CFRs), airworthiness design and substantiation criteria, aircraft and equipment design and operational characteristics Must be available to work any shift including nights and weekends as well as holidays. Must be legally authorized to work in the United States for any employer without sponsorship. Successful completion of interview required to meet job qualification. Reliable, punctual attendance is an essential function of the position. What will help you propel from the pack (Preferred Qualifications): OEM Structural Repairs for Engineers Training (Boeing/Airbus) with portfolio of designing major repairs for aircraft structures; metallic or composite Work within specific ATA Airline Chapters Airline or Industry experience with general ATA Chapters which could encompass, aircraft systems, structures, power plant and avionics disciplines Excellent communication and technical writing ability Knowledge of FARS (specifically parts 21, 25, 26, 43, 121, & 145) CATIA/AUTOCAD experience The base pay range for this role is $97,945.00 to $133,540.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.
$97.9k-133.5k yearly 2d ago
Machine Learning Engineer
Deeprec.Ai
Machining engineer job in Fremont, CA
Machine Learning Engineer/Researcher Salary: Up to $300k Base The Role First hire owning agentic video pipelines. Build routing, fine-tuning, and backend logic that powers a next-gen video co-pilot. High autonomy. No hand-holding. What You'll Own Agentic pipelines for video/image tasks Routing across open-source + external VLM/LLM providers Fine-tuning + post-training on targeted tasks Low-latency backend services for video understanding Turning product needs into shipped features Must-Haves 2+ years fine-tuning LLMs/VLMs Hands-on with video/image models Built agentic or multimodal applications Comfortable as the only specialist building the foundation
$300k yearly 4d ago
Machine Learning Engineer
Digital Gurus
Machining engineer job in Redwood City, CA
Senior Machine Learning Engineer (LLM / Audio / Voice AI) $200,000-$300,000 + Equity San Francisco Bay Area (Relocation + Sponsorship Available for Exceptional Talent) Permanent Our client is a rapidly scaling AI startup operating at $1M+ ARR per employee, building the next generation of real-time voice automation. They're now hiring exceptionally talented (Doesn't matter the years of experience) ML Engineer to help push the boundaries of speech, audio, and LLM-driven systems. This role sits at the core of their product: Training LLMs and audio models Designing high-performance ML infrastructure Deploying models that must operate reliably under real-world, latency-sensitive conditions Work end-to-end - experimentation, evaluation, productionisation, and continuous improvement The environment is fast-paced, deeply technical, and highly collaborative, with 80%+ onsite time expected. This is a true startup role: long hours, high ownership and reward, fast iteration, and the chance to make outsized impact on a rapidly growing product used by hundreds of thousands of customers. They're looking for engineers with strong academic foundations and demonstrated technical excellence (advanced degrees or standout research/engineering experience), plus hands-on experience shipping ML systems in demanding environments. If you thrive in ambiguity, love building real-world AI systems, and want to help shape a high-velocity ML organisation from the ground up, this is the opportunity. Apply now or reach out for details or to explore the role confidentially.
$200k-300k yearly 3d ago
Staff - Machine Learning Model Engineer
Samsung Ads 4.9
Machining engineer job in Mountain View, CA
Staff - Machine Learning Model Engineer - Samsung Ads Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team. Responsibilities Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc. Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health. Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. Mentor junior engineers and provide technical guidance. Learn quickly and adapt to a fast-paced working environment. Experience Requirements: Master's or PhD degree in Computer Science or related fields. 8+ years of industry experience with a Master's degree or 6+ years of industry experience with a PhD degree. Solid theoretical background in machine learning and/or data mining. Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.). Hands-on experience with production-grade machine learning solutions. Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.). Extensive programming experience in Python, Go or other OOP languages. Familiarity with data structures, algorithms and software engineering principles. Proficiency in SQL and databases. Strong communication and interpersonal skills to drive cross-functional partnerships. Preferred Experience Requirements: Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.). Basic knowledge about Amazon Web Services (AWS). Experience with the advertising industry and real-time bidding (RTB) ecosystem. CALIFORNIA ONLY Compensation for this role is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
$240k-280k yearly 2d ago
Lead Machine Learning Engineer (Geometry/3D/Simulation)
Attis
Machining engineer job in Hayward, CA
Lead Machine Learning Engineer - Generative AI for the Physical World A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics. Why Join? This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform. The Company My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing. The Role As the Lead Machine Learning Engineer, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning. The Essential Requirements Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers. Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR). A strong track record of architecting and deploying complex ML systems from research to production. Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs). Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively. What Will Make You Stand Out A PhD in a relevant field such as Computer Science or Robotics. A background in mechanical, aerospace, or a related engineering discipline. Experience integrating perception models with LLMs or other agent-based systems. A history of publications in top-tier machine learning conferences. Benefits Up to $260,000 base Meaningful equity A key leadership role with the autonomy to shape the company's technical culture and direction. The opportunity to solve high-impact problems at the intersection of AI and engineering. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Head of Machine Learning, Head of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.
$260k yearly 5d ago
Machine Learning Engineer
Ikuto
Machining engineer job in Fremont, CA
Machine Learning Engineer - Applied AI Systems San Francisco, CA - On-site $170k-$250k + equity A venture-backed AI company is expanding its engineering group and looking for a Machine Learning Engineer to help push forward a new generation of decision-support products used in complex, data-heavy environments. The team builds systems that analyse large, unstructured datasets and surface insights that help organisations make high-stakes choices more consistently. You'll join a small group of engineers and researchers working on applied ML problems that combine pattern recognition, anomaly detection, language modelling and real-time data interpretation. This is a hands-on engineering role where you'll prototype, train, evaluate and productionise models that directly shape the product experience. What you'll work on Designing and implementing ML pipelines for processing a wide variety of semi-structured inputs. Training and adapting large language models to handle classification, extraction and reasoning tasks. Developing methods to identify irregularities, inconsistencies and unusual patterns within customer-supplied data. Improving the performance, latency and reliability of deployed models at scale. Collaborating with software engineers to integrate new capabilities into customer-facing features. Exploring new approaches in multimodal modelling, retrieval-augmented generation and adaptive learning systems. Who you might be Someone with professional experience in ML engineering, data science, applied research or similar. Confident programming in Python and fluent with at least one modern deep learning toolkit. Comfortable working with messy, real-world data rather than clean academic datasets. Experience with information extraction, language models, anomaly detection or data quality modelling is valuable. Interested in joining a company where the ML team has genuine influence over product direction. Enjoys experimentation, iteration and solving problems that don't have an obvious starting point. (No strict requirement on years - strength of experience matters more than time served.) Why this is different You'll work on technically challenging problems where accuracy genuinely matters. The company is scaling quickly and investing heavily in expanding its AI group. You'll collaborate closely with product and engineering leadership, not sit in a research silo. The environment is fast-moving, with opportunities to own projects end-to-end. Generous salary, equity and benefits package. Location & Work Style On-site in San Francisco to support a highly collaborative engineering culture. Hybrid flexibility may be available for senior hires already living in the Bay Area.
$170k-250k yearly 5d ago
Machine Learning Engineer
Mintegral
Machining engineer job in Fremont, CA
About Us Mintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As a self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website: ***************************** About the Role We are looking for a highly motivated Machine Learning Engineer to help advance the intelligence of our advertising platform. You will work across the full lifecycle of ML development-from framing ambiguous problems to deploying large-scale production models that directly impact advertiser ROI and user experience. Responsibilities Own the end-to-end algorithm development lifecycle, including problem formulation, solution design, experimental validation, and online deployment. Leverage data analysis and algorithmic innovation to optimize model inference performance, enhance monitoring systems, and continuously improve both monetization efficiency and user experience within the advertising platform. Identify potential issues and optimization opportunities across the ad delivery system. Actively participate in technical discussions, stay proactive in learning, and apply new technologies to solve real-world problems. Track cutting-edge research in machine learning and incorporate advanced techniques into practical adtech applications. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred. Excellent problem-solving skills, with the ability to abstract complex problems, build models, and analyze large datasets. Strong engineering fundamentals and production-quality coding skills (Python, C++, or related languages). Self-driven, resilient, and able to navigate challenging problems with a proactive mindset. Hands-on experience with optimizing ad systems end-to-end, and understanding system behavior through data loops and feedback cycles. Practical experience with feature engineering, model architecture design, and sample distribution analysis; background in generative recommendation or LLM-based approaches is a plus. Experience in RTB and ads strategies, such as cold-start optimization, budget pacing, calibration, or bidding strategies, is strongly preferred.
$116k-175k yearly est. 4d ago
Senior Machine Learning Engineer
Tekvizor
Machining engineer job in Fremont, CA
*We are unable to sponsor at this time. 📢New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Summary: You will be part of a world-class ML/AI team, developing machine learning models for content moderation. Working cross-functionally to turn business challenges into AI-driven solutions. Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection. Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams. Create and apply advanced machine learning and deep learning solutions to extract insights from diverse structured and unstructured data sources. Analyze business use cases and identify areas where AI models may have predictive limitations or biases. Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch. Experience: Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP. Hands-on experience with generative AI models, including tuning and prompt engineering for LLMs. Expertise in applying machine learning models in a professional environment with large, complex datasets. Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark. Familiarity with multimodal AI models combining text, image, and video data. Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research. Education: Master's in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required) Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $255,000, employee equity grant, and full employee benefits.
$116k-175k yearly est. 1d ago
Machine Learning Engineer (Data Science)
Autonomous Healthcare
Machining engineer job in Santa Clara, CA
At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About The Role Autonomous Healthcare is looking for a skilled Machine Learning Engineer to join our data science team. This role is focused on diving deep into complex datasets to uncover hidden patterns and build predictive models related to pharmacy data. You will be a key player in developing and deploying solutions that directly impact our business, with a special emphasis on analyzing unlabeled data to detect critical anomalies. If you love solving challenging puzzles with data and seeing your models come to life in a production environment, we want to hear from you. Key Responsibilities Design, develop, and train machine learning models to solve complex business problems. Perform in-depth data analysis and feature engineering on large, complex datasets, with a strong focus on unlabeled data to identify and investigate anomalies. Utilize Python and key libraries (such as Pandas, NumPy, and Scikit-learn) for data manipulation, analysis, and model building. Manage the end-to-end machine learning lifecycle, from data sourcing and model validation to deployment. Deploy and maintain scalable machine learning models in production on AWS (e.g., using SageMaker, Lambda, ECS/EKS). Collaborate with data engineers, software developers, and product managers to integrate ML models into our applications and systems. Monitor model performance, identify drift, and iterate on models to improve accuracy and efficiency. Required Qualifications Proven professional experience as a Machine Learning Engineer or Data Scientist. Strong programming skills in Python and extensive experience with data science/analytics libraries, especially Pandas. Demonstrable experience in analyzing unlabeled data and building models for anomaly detection (e.g., using clustering, isolation forests, autoencoders, or other techniques). Practical familiarity with deploying machine learning models on AWS cloud infrastructure (e.g., AWS SageMaker, S3, Lambda). Solid understanding of core machine learning concepts, algorithms, and best practices including unsupervised learning and reinforcement learning frameworks. Excellent analytical and problem-solving skills. Preferred Qualifications (A Plus) Familiarity with discrete event system simulation principles or tools. Experience with other MLOps tools and cloud services. A degree in Computer Science, Data Science, Statistics, or a related quantitative field.
$116k-175k yearly est. 5d ago
Machine Learning Engineer
Agreeya Solutions 4.3
Machining engineer job in Fremont, CA
Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data. Minimum Requirements: In-depth knowledge of Python for high-performance data-intensive applications. Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.) Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research. Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance. Real-world experience deploying and maintaining production machine learning use-cases. Passion for clean code and sustainable modular code for taking research ideas into production.
$109k-151k yearly est. 3d ago
Machine Learning Engineer
Ascendion
Machining engineer job in San Jose, CA
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. *** About the Role *** Job Title: Machine Learning Engineer Key Responsibilities: Deploy and manage LLMs using TorchServe, TensorFlow Serving, or custom API endpoints. Optimize inference performance for large-scale GenAI workloads in real-time environments. Design and implement retrieval-based GenAI systems (e.g., RAG) using vector databases like FAISS, Pinecone, or Weaviate. Build, deploy, and scale ML services using Kubernetes and Docker for robust, fault-tolerant AI pipelines. Leverage Python and popular ML frameworks (PyTorch, TensorFlow) for fine-tuning, testing, and maintaining AI models. Utilize AWS SageMaker or similar cloud ML platforms for scalable training and deployment. Must-Have Skills: Proven experience in LLM deployment & optimization Strong understanding of GenAI architectures - particularly RAG and vector search Hands-on with Kubernetes, Docker, and container orchestration for ML workloads Experience with Python, PyTorch, TensorFlow Familiarity with vector databases: FAISS, Pinecone, Weaviate Exposure to cloud-based ML platforms like AWS SageMaker Salary Range: The salary for this position is between $130,000- $140,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!
$130k-140k yearly 6d ago
Mechanical Engineer
Alexander Chapman
Machining engineer job in San Jose, CA
Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory
$82k-110k yearly est. 4d ago
Frontend Engineer (React.JS & Node.JS) - W2 Contract
Flexton Inc.
Machining engineer job in San Jose, CA
Frontend Engineer Duration: 6+ months (possible extension) Type: W2 Contract (Open to Consider USC, GC, EAD) - No Third Party or C2C Experience: 6+ Years in an Enterprise Environment with BS or MS in Computer Science. Must Have: JavaScript, React.JS, Typescript, NodeJS and REST API Job Summary: Seeking a Frontend Engineer with strong experience in JavaScript, HTML, CSS, and hands-on expertise in React and Node.js. The role involves building scalable, high-quality UI components and collaborating in an Agile development environment. Responsibilities: Develop and maintain frontend modules using JavaScript, HTML, CSS, React, and Node.js. Implement unit testing (JUnit) and ensure code quality. Utilize jQuery and core data structures where applicable. Work closely with cross-functional teams in an Agile/Scrum setup. Participate in solution design, code reviews, and feature development. Required Skills: Bachelor's degree in Computer Science or related field with Strong proficiency in JavaScript, HTML, CSS. Must-have: React.js and Node.js. Experience with unit testing tools (JUnit). Good understanding of data structures and jQuery.
$116k-167k yearly est. 3d ago
Smart Contract Engineer
Odiin
Machining engineer job in San Francisco, CA
You'll work closely with our product, engineering, and security teams to build scalable decentralized systems that push the boundaries of what's possible on-chain. Key Responsibilities: Design, write, test, and deploy smart contracts on Ethereum or other EVM-compatible blockchains. Collaborate with frontend and backend developers to integrate smart contracts into decentralized applications (dApps). Conduct peer reviews, optimize gas efficiency, and maintain best practices for security. Develop automated testing frameworks to ensure contract reliability. Stay up to date with emerging blockchain protocols, development tools, and security standards. Participate in smart contract audits and coordinate fixes for any identified vulnerabilities. Contribute to technical documentation for contracts and protocols. Requirements: Proven experience developing and deploying smart contracts in Solidity (or Rust, for non-EVM chains). Strong understanding of blockchain fundamentals, consensus mechanisms, and token standards (ERC-20, ERC-721, ERC-1155). Experience with smart contract development tools such as Hardhat, Foundry, Truffle, or Remix. Familiarity with Ethereum and Layer 2 scaling solutions (e.g., Arbitrum, Optimism, Polygon). Understanding of web3 libraries (ethers.js, web3.js) and dApp integrations.
$117k-167k yearly est. 3d ago
Mechanical Engineer
Undisclosed 3.4
Machining engineer job in San Jose, CA
We're working with a unicorn robotics company and they're looking for a Mechanical Engineer with 4+ years of experience to join a fast-moving team building some of the most advanced robots in the world. What they're looking for: • Smart, quick-thinking engineer who enjoys solving tough problems under pressure • Someone who's genuinely curious about how things work and loves building from the ground up • Experience designing reliable, production-ready mechanical systems - ideally products that have shipped at scale • Strong understanding of mechanisms, actuators, and precision assemblies • Thrives in fast-paced, hands-on environments and isn't afraid to get into the details to make things work Additional details: • Full-time, on-site role in San Francisco, CA • Opportunity to work with a world-class team at a well-funded unicorn robotics company
$82k-108k yearly est. 2d ago
NPI Mechanical Engineer - full time /Direct hire (onsite)
Maxonic Inc.
Machining engineer job in Fremont, CA
Job Title: NPI Mechanical Engineer Job Type: Full-time Work Schedule: Onsite Salary: $88000 - 120000/Yearly The Mechanical Engineer (Level 2) works with local manufacturing teams and Taiwan-based design teams to resolve mechanical issues in a timely manner and ensure smooth product development and production support. This role supports new product introduction (NPI), fixture and component design, and continuous improvements in manufacturability and assembly. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Collaborate with cross-functional teams including R&D, manufacturing, and customer support. Analyze and resolve mechanical engineering issues, coordinating with design teams to determine root causes. Manage and guide the transition of NPI products into production, ensuring manufacturability and assembly readiness. Design and validate testing fixtures, jigs, and mechanical components to support new projects and production needs. Provide design-for-manufacturability (DFM) and design-for-assembly (DFA) feedback to improve product quality and efficiency. Review mechanical drawings and specifications for accuracy, tolerance, and compliance with company standards. Perform mechanical stress, fit, and tolerance analyses to ensure reliability and performance. Conduct failure analysis and propose corrective actions for mechanical and structural issues. Support tooling, sheet metal, and plastic component design, fabrication, and inspection. Document and update SOPs (Standard Operating Procedures), work instructions, and test plans. Support factory teams in the U.S. by bridging communication between Taiwan design teams and local production teams. Participate in cost reduction and process improvement initiatives related to mechanical design and manufacturing. Qualifications: Knowledge and experience with server, storage, and/or PC products. Familiarity with creating server assembly standard operating procedures (SOPs) for production lines. Skill in using measuring tools such as calipers and altimeters. Ability to interpret engineering drawings, including dimensional tolerances and GD&T (Geometric Dimensioning & Tolerancing). Understanding sheet metal product production and inspection; familiarity with NCT and hard tooling manufacturing is desirable. Understanding of plastic part production and inspection; familiarity with mold-up and hard tooling processes is desirable. Strong analytical problem-solving and communication skills. Proficiency in CAD tools (e.g., Creo/Pro-E) preferred. Bachelor's or Master's degree in Mechanical Engineering or equivalent. Minimum of 3 years of professional mechanical engineering experience. Ability to walk and stand on cement floors for extended periods. Ability to stoop, bend, and perform repetitive tasks. Prolonged periods of sitting and computer work. Ability to lift up to 30 pounds. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Pramod Kumar (******************** / *************** for more details.
$88k-120k yearly 3d ago
Machine Learning Research Engineer
Acceler8 Talent
Machining engineer job in San Francisco, CA
Machine Learning Research Engineer - Video Intelligence - Up to $250k A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for an Applied Research Engineer to join their team. What You'll Be Doing Build high-performance video understanding systems and large-scale processing pipelines Tackle ambiguous research problems with creative technical solutions Optimize model performance through clever pre/post-processing, parallelism, and inference optimization Work directly with customers and external teams to deliver end-to-end video intelligence products Collaborate with leading AI video labs on cutting-edge applications What We're Looking For 3+ years experience in computer vision or audio processing Strong Python skills with PyTorch or similar ML frameworks Excellent communication abilities, especially customer-facing Clean, maintainable coding practices Product-minded approach - you want to build complete solutions, not just train models Early startup experience is a plus What's In It For You: Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!
$250k yearly 3d ago
Mechanical Design Engineer / Engineering Drawing Quality Checker
Tata Consultancy Services 4.3
Machining engineer job in Los Angeles, CA
Must Have Technical/Functional Skills • Mechanical Design engineers and Quality checkers, with Manufacturing engineering background. • New Product Introduction • In-service reliability tracking and investigations. • Non-conforming material review • Production modifications • New Product Introduction /Sustaining Project engineering, fulfilling the requirements of Project Engineers, • Develop the Method/Process on how to flow, control and execute the task. • Interact with the customer to understand the requirements and propose and implement solutions • Design and development of different modules and other release processes • Work closely with customer to understand the requirement • Data segregation, • Triaging • SolidWorks, MATLAB Simulink • Experienced in Catia software • Must be US Roles & Responsibilities • Interact with the customer to understand the requirements. • Participating in business requirement discussions and providing key technical inputs • Directly handling technical queries from customer • Work on Data segregation, Triaging • Work on SolidWorks, MATLAB Simulink General Managerial Skill: • Strong verbal and written communication skills with the ability to liaise with a variety of stakeholders • Must be self-motivated and pro-active • Flexibility to respond to day-to-day changes • Need to show constant dynamism and be able to manage pressure • Attention to detail • The ability to work in a team and individually • Organizational skills with the capability of working towards tight deadlines • Able to work with demanding customer• Base Salary Range: $120,000 - $140,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Ce rtification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
$120k-140k yearly 2d ago
Staff Backend Engineer
80Twenty
Machining engineer job in San Francisco, CA
80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits
$250k-300k yearly 2d ago
Research & Development Engineer (IoT)
Lawrence Harvey 4.4
Machining engineer job in Davis, CA
$130-150k base salary Davis, CA We're partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&D Engineer to join their team in Davis, CA. The R&D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally. Key skills & experience: Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&D environment This is a hands-on role that will be focused ‘tinkering' with a lot of new products/ideas - would be good to have experience with RF, GPS, Vision (Cameras, Optics & Lighting), and systems integration Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques Looking for someone with good CAD experience Looking for someone with a broad/generalist background who has experience across the entire product development process - open to applicants from a Solar, Construction, or Industrial background This role will be working onsite in Davis, CA. Interested? Apply now or send a copy of your resume to ***************************
$130k-150k yearly 4d ago