Operations engineer jobs in Palo Alto, 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

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.

Source One is a consulting services company and we're currently looking for the following individual to work as an on-site consultant to an autonomous vehicle (AV) ride-sharing company in Hayward, CA. Title: SAP Operation Support Engineer (Contract) Pay Rate: $87.25/hr (W-2) Summary: Our client is seeking an SAP Operation Support Engineer to support SAP S/4, key Base Operations systems, and broader IT infrastructure initiatives. This role focuses on SAP data accuracy, system configuration, operational improvements, and cross-functional collaboration to enhance vehicle and production operations. You will also assist with analytics tools, documentation systems, and general IT application support. The ideal candidate is detail-oriented, proactive, and experienced in SAP S/4 and system operations, with strong communication skills and the ability to manage complex data and processes in a fast-paced environment. Key Responsibilities : SAP Support & Data Management - Serve as the SAP data steward: maintain vehicle lists, equipment structures, work centers, measuring points, counters, task lists, maintenance plans, and catalog codes. - Partner with the Business Applications team on As-Maintained BOM cleanup and resolving data inaccuracies. - Provide configuration management support in SAP for Base Operations ahead of key milestones. - Lead SAP improvement and automation initiatives and evaluate user experience to drive usability enhancements. - Act as the primary SAP subject-matter expert, handling troubleshooting, maintenance, and user support. - Work with internal training teams to create module-specific SAP training for BaseOps users. Systems, Infrastructure & IT Application Support - Provide general IT application support for Base Operations systems and advocate operational needs with Corporate IT. - Lead IT infrastructure and application improvement projects informed by data insights and user feedback. - Support development, maintenance, and operations of technical publications tools, release software, and customer-facing documentation systems. - Improve documentation review workflows in partnership with the BaseOps documentation team. - Support development and use of analytics tools, dashboards, and reporting frameworks to improve operational efficiency. - Conduct data auditing and compliance activities to ensure accuracy, governance, and system reliability. - Communicate project progress, milestones, and outcomes to internal and external partners. Daily Focus : - Manage SAP data accuracy and system improvement projects in close collaboration with Business Applications, Program Management, Strategic Operations, Data Science, Fleet Support, and Engineering. - Monitor and support BaseOps systems and infrastructure, lead software/hardware rollouts, deliver training, troubleshoot issues, and contribute to overall system architecture. - Provide support for SAP S/4, SAP MES, and other IT systems; contribute to operational tools and processes that improve fleet and production uptime. - As needed, support website development and maintenance of operational databases and dashboards. Qualifications : - B.S. in Information Technology or an equivalent engineering field - 6-8 years of experience in a System Operations Support role - Hands-on experience with SAP S/4 - Strong written and verbal communication skills - Highly self-motivated, detail-oriented, and able to prioritize multiple assignments - Experience with UI development/maintenance and UX studies - Coding experience: HTML, CSS, JavaScript Bonus Qualifications : - Experience with SAP ME/MII - Familiarity with Jira/Confluence or similar tools - Experience with web development tools (e.g., Oxygen) and building analytics dashboards - Prior support experience in production or vehicle fleet environments

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

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow's ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. ******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future*** Responsibilities: Deeply understand DIC, accelerometer, strain gauge and other sophisticated testing methods in order to train and assist technicians Design, develop, and implement test fixtures and setups to support REL tests Develop and document standard operating procedures (SOPs) for testing and equipment operation. Train new personnel on equipment operation Troubleshoot equipment issues Execute high-impact, high-priority REL Test requests Communicate progress, blockages, issues and progress in a timely manner Develop and document standard operating procedures (SOPs) for testing and equipment operation. Follow documentation for testing and equipment operation Set up and operate test equipment, including sensors, strain gauges, and accelerometers. Apply sensors and strain gauges to test specimens and ensure accurate data collection. Write and maintain accurate records of test results, including data analysis and interpretation. Collaborate with team members to troubleshoot issues and resolve problems, being sure to communicate to Lab Manager and Lab Engineer. Participate in continuous improvement initiatives to optimize test processes and equipment. Track time spent on activities, and report daily Required Skills: Lab Engineer with 4-5 years of experience in consumer electronic reliability testing Environmental chambers, used for heat soak and temperature cycling Controlled drop tower High Speed Video cameras, for example from Photron or Phantom brands Digital microscopes, such as Keyence brand Universal Testing Machines, such as machines from Instron brand, both single- and bi-axial UV Chamber, such as from Atlas Material Testing Preferred Skills: Shock towers, such as from Lansmont brand Electrodynamic vibration table Digital Image Correlation Collaborative Robot Arms, such as from Universal Robotic

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.

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

Staff AI Engineer | Sunnyvale, CA | $225K-$300K + Equity We're partnering with a leading company in the software defined vehicle space to hire a Staff AI Engineer. Their technology is already running in more than five million vehicles on the road today and they are now building the next layer of AI that will power future automotive platforms. In this role you will work on advanced language models, retrieval systems and agent style architectures that support real world, safety critical use cases. You will own the full lifecycle of AI systems from early research through to stable, production grade services. What you'll do: Train and fine tune LLMs for reasoning and decision making Build retrieval pipelines and RAG systems for real time semantic search Design and scale ML systems that run in fault tolerant, privacy compliant environments Develop evaluation frameworks to measure reliability, correctness and performance Work closely with engineering and product teams to shape AI solutions that match real world needs What we're looking for: 5+ years of experience as an AI or ML engineer Hands on experience with LLMs, agent frameworks and RAG architectures Strong Python and experience with PyTorch or TensorFlow Background in building and deploying production ML systems Comfort working in a collaborative on site environment three days per week in Sunnyvale If this sounds like something you would like to explore, apply today and we'll be in touch

Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Facilities Management, or a related field. 6+ years of experience in facilities engineering or a similar role. Experience building systems, including HVAC, electrical, plumbing, and fire suppression. Must be hands-on, ability to support repairs, maintenance projects (mechanical, electrical, plumbing…etc.) Build automation systems (BAS) and computerized maintenance management systems (CMMS). Familiarity with AutoCAD or similar design software is a plus.

Why Lamar Health What do we do: We take care of shitty paperwork for very expensive drugs. Type: Full-time Compensation: Competitive + mission-driven impact Team: Our CEO worked on the AI model for the COVID Pfizer vaccine. Our CTO built an AI model for optimizing claims thats used by most cancer clinics in the US today. We're a good fit for someone that needs to have this level of impact. About Lamar Health Lamar Health is building modern infrastructure for healthcare delivery - helping care teams, clinics, and patients connect seamlessly through intelligent software. Our mission is to bring speed, clarity, and coordination to a space that's too often fragmented and slow. We work with leading healthcare organizations to reimagine how technology supports care delivery - from data integration to patient experience. Every deployment matters because it directly affects how real people access care. About the Role As a Product Engineer at Lamar Health, you'll bridge the gap between our core platform and the real-world needs of our customers - health systems, clinics, and care teams. You'll work hand-in-hand with users to understand their workflows, design solutions that streamline operations, and ensure that our technology drives measurable impact in patient outcomes and care efficiency. You'll write production-quality code, collaborate with our product and engineering teams, and bring new ideas from the field into the heart of our roadmap. What You'll Do Work directly with healthcare customers to understand their clinical, operational, and data challenges. Design and implement integrations, data pipelines, and lightweight applications on top of Lamar's platform. Collaborate with sales and engineering teams to influence the roadmap based on real-world customer needs. Prototype rapidly, deploy confidently, and iterate based on feedback from users in the field. Translate technical complexity into clear, actionable insights for non-technical stakeholders. Who You Are You have 3-5 years of experience building and shipping software in production (Python, TypeScript, or similar). You're excited about the intersection of technology, healthcare, and product thinking. You love talking to users, uncovering pain points, and crafting pragmatic technical solutions. You're comfortable in ambiguity - prioritizing impact over perfection. You value empathy and communication as much as technical skill. You want to see your work directly improve healthcare delivery and patient experience. Bonus Points Projects you've worked on and can share. Prior experience in a customer-facing engineering, consulting, or startup role. Comfort working in regulated or privacy-sensitive environments (HIPAA, SOC2). Why You'll Love Working at Lamar Health Impact: Your work will touch real clinics, doctors, and patients - every deployment matters. Ownership: You'll shape how our platform is used in the field and help define our product direction. Growth: Work cross-functionally with engineers, clinicians, and product leaders solving complex, meaningful problems. Mission: Join a team genuinely driven to make healthcare more human, efficient, and connected. Team: People that move the ball with you to get shit done. About the Application Please submit a communication test (est time 5-10 min): Instead of a traditional cover letter and resume, we'd like you to complete a short task to show how you work: Step 1: Review the attached PDF policy for Evenity: ****************************************************** Step 2: Use an AI tool (ChatGPT, Claude, Gemini, etc.) to create: A simple checklist of all the approval requirements for the medication. A short description (1-2 paragraphs) explaining: How you used the AI tool. What prompts you wrote. Any challenges you encountered. Step 3: Send us your: Checklist (Google Doc, Word Doc, or PDF). LLM usage notes (can be included in the same document or separately). 👉 Submit your test and any brief intro about yourself to: careers at lamarhealth dot com Industry Hospitals and Health Care Employment Type Full-time

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup (YC W24) which is into orchestrating users' GitHub Action workflows on a fleet of bare-metal gaming CPUs, with build caches co-located next to CI jobs-all enabled by a single line of code. Raised a Series A funding, bringing total capital to $13.5M, and grew ARR from $1M to $3M in just 4 months, continuing to scale rapidly. Role - Product Engineer Location - 5 day/week in NYC/SF Required Tech Stack - React, TypeScript, Golang, Postgres, ClickHouse Compensation - $200k - $300k Benefits - Medical, Vision, and Dental insurance, Unlimited PTO, Quarterly offsite, 12 weeks fully paid parental leave (US) Requirements: 3 - 10 YoE as a great full stack engineer who is 50%-90% frontend leaning but can also work on the backend. Must be product-minded and have worked on customer-facing products Must be proficient in React / TypeScript Why Candidate Should Join: Orchestrates millions of virtual machines each month to run CI jobs efficiently across a proprietary fleet of bare-metal servers. Powers continuous integration for 600+ high-growth startups Founded by elite engineers

We are partnered with a Stealth AI Infra startup (backed by a Tier 1 AI Lab and advised by 2 of the world's most prominent ML thought-leaders), who are hiring a Staff Engineer (genuine progression to HoE / Chief Engineer). The business already have enterprise customer traction & are backed by Perplexity and the VC who led investments in Hashicorp & Rancher. They are advised by the ex-GM & MD of Microsoft Research. They have proprietary tech & are building next-gen enterprise multimodal search & analytics platform, combining graph-based retrieval, multimodal indexing and cutting-edge LLMs to deliver lightning-fast, context-aware search. They fuse graph theory with multimodal learning, and are cutting compute, data & CO₂ while boosting accuracy on real-world problems. The founding team blends deep technical and enterprise expertise - ex-FAANG engineers & scientists from Tier1 Labs, product operators, and PhDs from top global universities. Guided by advisors from Microsoft Research, Berkeley, and UPenn. Building AI that scales responsibly, from the physical world up and unlock the next frontier in AI with graph foundation models for unstructured data. Working at the frontier of enterprise AI Infra, building systems that power multimodal understanding for enterprise orgs. They are looking for a Principal (Founding) Engineer with progression to Head of Engineering & beyond. You will work directly with the founders to design systems that scale up inference for cutting-edge models, build efficient training loops, and operationalize self-hosted LLMs (Llama-70B, Mistral-8x22B, etc.) using GPU autoscaling and model-serving frameworks. Technical ownership and leadership trajectory from day one. Key Experience Required; 5+ Years' experience in ML / Software Engineering Hands-on experience serving large language (and non-language) models in production (GPU orchestration, inference optimization) Experience sharing an ML model across multiple GPUs A builder's mindset: you relish ambiguous requirements, pick the right tool, and ship Please apply ASAP if interested!

The CAD Engineer is responsible for designing and developing new motor assemblies, managing part design, and overseeing change management for existing motors. Essential Duties and Responsibilities · Design and develop motor products, including the creation of 3D CAD models, detailed drawings, and proof-of-concept evaluations. · Generate drawings and bills of materials (BOM) for Moons' motor projects; collaborate with cross-functional teams to define manufacturing processes, supply chain strategies, and inspection standards. · Coordinate with supplier factory teams; conduct comprehensive design reviews for parts and tooling quotations, support part and tool development, and contribute to first article inspections for part approval. · Assemble, test, and analyze First Unit to Test (FUTT) prototypes. · Participate in Design for Manufacturability and Effects Analysis (DFMEA) as required. · Conduct performance testing and establish product specifications. · Offer technical expertise to manufacturing operations, Lin Engineering's design engineers, and procurement personnel. · Manage Engineering Change Notices (ECNs). · Assess competitive products and compile reports to identify opportunities for improvement. · Assist in product field failure (RMA) analysis. · Complete and follow up on engineering requests/orders. · Perform additional responsibilities as assigned. General Requirements: · Consistently meets the performance factors outlined on the Performance Appraisal form and adheres to Company Core Values and operating principles. · Demonstrates commitment to Lean implementation by applying methodologies such as Process Mapping, Visual Management, Workplace Layout, Standard Work, and minimizing the 7 Wastes. · Maintains open communication with managers, colleagues, affiliates, vendors, and other business contacts. · Ensures safe use of equipment and materials by following prescribed safety procedures and implementing appropriate safeguards. · Upholds Lin Engineering's standards and promotes compliance among peers. · Exhibits organizational skills, independence, reliability, attention to detail, adaptability, and a dedication to excellence. · Adjusts workload and priorities effectively in response to evolving deadlines and requirements. · Possesses strong written and verbal communication abilities, including proficiency in grammar and business correspondence. · Demonstrates thorough knowledge of clerical and administrative practices and delivers high-quality customer service. · Maintains a neat and professional appearance. · Collaborates effectively with team members. Deliverables · Decrease ECN response time. · Reduce RMA occurrences due to ECN. · Minimize errors in drawings and technical details before ECN submission. Qualification Requirements: Candidates must be able to perform all essential duties satisfactorily. The requirements below represent the knowledge, skills, and abilities necessary for this position. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: · A Bachelor's degree in Mechanical Engineering from an accredited institution is required; 0-3 years of experience in product design and engineering change management preferred. · Experience as a design engineer for high-volume mechanical products utilizing die casting, injection molding, machining, and stamping techniques is desirable. Knowledge of motor design is advantageous. · Strong understanding of manufacturing processes related to part and assembly design. · Proficiency in GD&T and its application. · Experience with mechanical and electrical test equipment (e.g., calipers, machine tools, oscilloscopes, DMMs, dynamometers, torque transducers) is a plus. Computer Skills: · Proficient in Microsoft Office Suite, including Outlook, Word, Excel, PowerPoint, and MS Project. · Proficient in computer-aided design software such as SolidWorks, Autodesk, Pro/E, or comparable mechanical design programs. · Familiarity or experience with SAP is considered an asset.

It takes hard work and smarts to get you into the reactor room. But if you have a strong interest in math, chemistry, physics and engineering, you might just have what it takes to be a Machinist's Mate Nuclear. As an MMN, you are the Navy's nuclear reactor mechanic. It is your responsibility to perform all maintenance on the steam-powered propulsion plants aboard aircraft carriers and submarines to ensure our fleet can move safely. And your hard work can lead to great rewards. As an MMN, you'll be eligible to receive up to a $40,000 bonus for first-time enlistment. Re-enlistment bonuses are also available. Think you have what it takes to make a nuclear-powered ship run? Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Machinist's Mate Nuclear More Information Responsibilities Nuclear Machinist's Mates operate and maintain steam turbines and reduction gears used for nuclear ship propulsion and auxiliary machinery such as turbogenerators, pumps and oil purifiers. They also maintain auxiliary machinery outside of main machinery spaces, such as electrohydraulic steering engines and elevators, refrigeration plants, air conditioning systems and desalinization plants. They may also operate and maintain compressed gas producing plants. Nuclear-trained MMs perform duties in nuclear propulsion plants operating reactor control, propulsion and power generation systems. Work Environment As a Machinist's Mate Nuclear, you'll have the opportunity to work at sea or ashore. Your assignment could also place you in an intense, fast-paced environment aboard a nuclear-powered submarine or aircraft carrier. Learn more about submarine service and life on a ship. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes, (known as Boot Camp), those pursuing a Machinist's Mate Nuclear role report to "A" School in Charleston, SC, for six months. Here, they develop a working knowledge of technical mathematics and power distribution. Students learn to solve basic equations using phasors, vector notations and basic trigonometry and analyze DC and AC circuits. They also learn how to operate electrical equipment using controllers, and how to properly test, maintain, troubleshoot, and repair electrical circuits, motors and other related electrical equipment. From there, MMNs move on to Naval Nuclear Power School (NNPS), also in Charleston, SC. Here they learn theory and practical application of nuclear physics and reactor engineering. The six-month course provides a comprehensive understanding of a pressurized-water Naval nuclear power plant, including reactor core nuclear principles, heat transfer and fluid systems, plant chemistry and materials, mechanical and electrical systems, and radiological control. Following NNPS, MMNs begin prototype training in their rating specialty at one of two Nuclear Power Training Units (NPTUs) - located in Charleston, SC, and Ballston Spa, NY. This six-month course teaches the fundamentals of a Naval nuclear power plant and the interrelationship of its mechanical, electrical, and reactor subsystems. Students develop oral communications skills, obtain an understanding of nuclear radiation, and gain knowledge of the safe operation of a complex Naval nuclear power plant. In Nuclear Operations, promotion opportunities are regularly available but competitive and based on performance. Post-Service Opportunities It's also important to note that specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian sector. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training for a Machinist's Mate Nuclear can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and Machinist's Mate Nuclear in the Navy. Those seeking a role as a Machinist's Mate Nuclear must be U.S. citizens with successful completion of one year of Algebra, and who can meet eligibility requirements for a security clearance. General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before. Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Compare Navy Careers See how a career as a Naval Reactors Engineer compares to other Navy jobs. Compare roles, pay and requirements for each job now.

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.

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

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

It takes hard work and smarts to get you into the reactor room. But if you have a strong interest in math, chemistry, physics and engineering, you might just have what it takes to be a Machinist's Mate Nuclear. As an MMN, you are the Navy's nuclear reactor mechanic. It is your responsibility to perform all maintenance on the steam-powered propulsion plants aboard aircraft carriers and submarines to ensure our fleet can move safely. And your hard work can lead to great rewards. As an MMN, you'll be eligible to receive up to a $40,000 bonus for first-time enlistment. Re-enlistment bonuses are also available. Think you have what it takes to make a nuclear-powered ship run? Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Machinist's Mate Nuclear More Information Responsibilities Nuclear Machinist's Mates operate and maintain steam turbines and reduction gears used for nuclear ship propulsion and auxiliary machinery such as turbogenerators, pumps and oil purifiers. They also maintain auxiliary machinery outside of main machinery spaces, such as electrohydraulic steering engines and elevators, refrigeration plants, air conditioning systems and desalinization plants. They may also operate and maintain compressed gas producing plants. Nuclear-trained MMs perform duties in nuclear propulsion plants operating reactor control, propulsion and power generation systems. Work Environment As a Machinist's Mate Nuclear, you'll have the opportunity to work at sea or ashore. Your assignment could also place you in an intense, fast-paced environment aboard a nuclear-powered submarine or aircraft carrier. Learn more about submarine service and life on a ship. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes, (known as Boot Camp), those pursuing a Machinist's Mate Nuclear role report to "A" School in Charleston, SC, for six months. Here, they develop a working knowledge of technical mathematics and power distribution. Students learn to solve basic equations using phasors, vector notations and basic trigonometry and analyze DC and AC circuits. They also learn how to operate electrical equipment using controllers, and how to properly test, maintain, troubleshoot, and repair electrical circuits, motors and other related electrical equipment. From there, MMNs move on to Naval Nuclear Power School (NNPS), also in Charleston, SC. Here they learn theory and practical application of nuclear physics and reactor engineering. The six-month course provides a comprehensive understanding of a pressurized-water Naval nuclear power plant, including reactor core nuclear principles, heat transfer and fluid systems, plant chemistry and materials, mechanical and electrical systems, and radiological control. Following NNPS, MMNs begin prototype training in their rating specialty at one of two Nuclear Power Training Units (NPTUs) - located in Charleston, SC, and Ballston Spa, NY. This six-month course teaches the fundamentals of a Naval nuclear power plant and the interrelationship of its mechanical, electrical, and reactor subsystems. Students develop oral communications skills, obtain an understanding of nuclear radiation, and gain knowledge of the safe operation of a complex Naval nuclear power plant. In Nuclear Operations, promotion opportunities are regularly available but competitive and based on performance. Post-Service Opportunities It's also important to note that specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian sector. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training for a Machinist's Mate Nuclear can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and Machinist's Mate Nuclear in the Navy. Those seeking a role as a Machinist's Mate Nuclear must be U.S. citizens with successful completion of one year of Algebra, and who can meet eligibility requirements for a security clearance. General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before. Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Compare Navy Careers See how a career as a Naval Reactors Engineer compares to other Navy jobs. Compare roles, pay and requirements for each job now.