Mechanical design engineer jobs in Santa Rosa, 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!

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

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.

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.

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.

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

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.

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

Qualifications Patent preparation and prosecution experience, either in-house or as outside counsel, specifically in the mechanical arts (e.g., recreational vehicles, industrial devices, medical devices, and consumer devices) A BS degree in mechanical engineering is preferred, although candidates with other degrees will be considered Additional legal, industry, and/or academic experience in mechanical engineering or related fields is desirable Active bar admission in Oregon or Washington Registered to practice before the USPTO Strong time management and organizational skills, including demonstrated ability to take ownership for, and efficiently manage, a large docket including meeting internal and external deadlines Familiarity with operations of large organizations with established patent programs, including international organizations Strong work ethic and commitment to being responsive to client needs Excellent writing, communication and interpersonal skills Ability to collaborate and work effectively with a variety of internal and external stakeholders Demonstrated ability working independently About Vanguard-IP Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our sole focus on intellectual property enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. Confidentiality At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

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.

Project Engineer - Electrical (San Francisco, CA) A well-established Bay Area electrical contractor is seeking a Project Engineer to support major public-works projects across San Francisco. The company specializes in street-lighting systems, traffic signals, low-voltage infrastructure, ITS/communications, and overhead traction power systems for municipal transit. This role is ideal for an electrical engineer who wants to build a long-term career in electrical infrastructure and public utilities. Role Overview The Project Engineer will support project planning, coordination, documentation, and field execution. You'll work closely with Project Managers, Superintendents, and field crews to ensure successful delivery of complex municipal electrical projects. Key Responsibilities Project Coordination & Documentation Prepare RFIs, submittals, as-builts, change orders, and close-out packages Assist in developing schedules, phasing plans, and manpower forecasts Track quantities, production, materials, and delivery schedules Maintain communication with suppliers, subcontractors, and city inspectors Technical & Engineering Support Review and interpret plans, specifications, one-lines, and signal/lighting layouts Support engineering tasks for: Street-lighting and roadway illumination Traffic signals, pedestrian safety systems, and controllers Low-voltage ITS, communications, and fiber systems Overhead traction power used by electric bus fleets Assist with utility coordination, conduit routing, duct bank layout, and pole/fixture placement Participate in QA/QC checks and site inspections Field Support Conduct site walks and support daily project reporting Ensure work complies with NEC, Caltrans, and City & County of SF standards Assist with safety documentation and equipment tracking Cost Control & Estimating Support cost tracking, production reporting, and invoice review Assist with takeoffs and estimating for new bids and upcoming scopes Requirements Bachelor's degree in Electrical Engineering is required 0-5 years of experience in construction, electrical infrastructure, utilities, or low-voltage systems Strong understanding of electrical fundamentals (voltage, current flow, grounding, circuits) Ability to read plans, technical specifications, and electrical diagrams Strong organizational and communication skills Proficiency with MS Office; experience with Bluebeam, AutoCAD, or Procore is a plus Valid driver's license and willingness to perform site visits Compensation & Benefits Base salary: $80,000 - $120,000 DOE Company vehicle + fuel card 401(k) Health & dental insurance Paid time off and company-paid holidays Strong long-term career progression into Assistant Project Manager and Project Manager roles

Project Engineer - Heavy Civil - Iconic Landmark Project - $115,000 - $150,000 I'm partnering with one of the top-performing general contractors in the nation, known for delivering some of the most high-profile, complex, and technically demanding heavy civil projects across the U.S. They are seeking a Project Engineer to join their team on an iconic California landmark project-a rare opportunity to work on major infrastructure assets such as landmark bridges, large-scale transit improvements, and aviation expansions. This role offers exceptional exposure to senior project leadership and hands-on involvement in shaping high-visibility civil works. Salary: $115,000 - $150,000 (D.O.E) Sector: Heavy Civil / Infrastructure (Bridges, Transit, Aviation, Large-Scale Civil) Why Join? Iconic Project Exposure: Be part of a once-in-a-generation infrastructure project recognized across the industry. Career Growth: Accelerate your development with direct access to senior leadership and a clear path toward Project Manager roles. Lean, Agile Team: Join a streamlined, highly respected project team focused on technical excellence and efficient delivery. Top-Tier Contractor: Work for a GC with a strong national reputation and a robust pipeline of landmark civil projects. Interested? Apply directly or reach out to ***************************************

Based in San Francisco, is a premier construction company specializing in grading, paving, and asphalt services, and been in business for 40 years. Known for their quality craftsmanship and commitment to sustainability, they provide a wide range of services including road construction, asphalt repair, sealcoating, and site development. We have earned a solid reputation for timely project completion, attention to detail, and exceptional customer service. Their expertise serves both public and private sector clients, making them a trusted name in the Bay Area, We are currently seeking a Project Engineer to join our dynamic Team in our new San Francisco office - supporting Paving, Grading, & Civil construction projects. Job Description: Support construction activities by planning, organizing, and implementing project engineering & project controls tasks as required for successful project execution. Processing Submittals, Change Orders, and RFI's Safe work planning and execution. Project Layouts USA Layout (calling and updates) Quality control supervision. Quantity tracking Budget management Scheduling 3 weeks, 9 day look ahead, weekly schedule update (every Monday) and monthly Project Schedule Baseline Update. Contract / subcontract administration. Change coordination (COR). Document control (tags, invoices, and material). Project closeout. Provide supervision on-the-job for activities performance. Develop complete understanding of contract plans and specifications. Assist the project team in implementing overall Quality Management system. Inspect field conditions and identify problems, inaccuracies, and cost saving measures that arise or that may be encountered. Take corrective actions as needed. Inspect subordinates' work for compliance with the contract plans and specifications, point out deficiencies and explain and take any corrective action needed. Ensure compliance with all regulatory requirements for executing projects. Tracking material costs and quantities entering project sites. Create reports based on monthly material costs and inventory. Perform material takeoffs from drawings, specifications, and other contract documents. Perform basic engineering calculations and technical drafting to support field operations. Interpretation of drawings and specifications for field crews and craft supervision. Perform quantity calculations by taking measurements and determining percentage of completed/installed materials and work (billing process). Perform the preparation of work plans and work packages. Field surveying and work layout support including elevation, control points, and compilation of as-built data. USA layout/call in remarks. Layout pothole activities and performing the report. Assist in compiling, processing, and confirming daily labor timesheets. Participate in jobsite safety reviews, toolbox meetings, mass safety meetings, and safety training. Assist on Order and schedule material deliveries. Regular, reliable attendance. Work productively and meet deadlines timely. Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment. Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies. May need to work additional hours during the week and weekend to complete job responsibilities within deadlines. May work at various locations and conditions may vary. Evaluate, prepare, and distribute appropriate RFI's and COR's. Maintain accurate logs/records of the activities associated with RFI/Submittal/COR processes and ensure that critical pending items are brought to the forefront. Support on multiple projects Qualifications: BS Degree in Construction Management, Engineering, or related field - may substitute degree for field experience Minimum of (1) years' experience in construction or engineering with an emphasis on Civil Projects Experience with Concrete, Paving, or Civil Construction a plus Working knowledge and ability to direct the operation of at least the following management systems: accounts payable/accounts receivable, materials control, estimating, job cost updates and subcontracts Proven abilities and skills in the following: leadership and management of people, communication (verbal and written), planning, organization, delegation as well as teaching and mentoring Ability to set standards of excellence in leadership, safety, quality and productivity for his/her subordinates Ability to access all areas of the construction site Previous experience / knowledge of City & County Municipal requirements and specifications a plus. Excellent people skills & works well with others - team player! Self-starter & educator Ability to lift 30 lbs. Possesses excellent organizational/coordination skills Computer Skills must include: Microsoft Office (Excel/Word/Access)

We are seeking a motivated Senior Project Engineer in the San Francisco Bay Area to support the delivery of heavy civil and/or water infrastructure projects. The Senior Project Engineer works alongside the Project Management Team which is responsible to plan and oversee the project to ensure a timely and cost effective outcome. This includes budgeting, organization, implementation and scheduling of the project. Ensure the project is constructed in a safe, ethical manner and in compliance with all federal, state, and local laws. The Project Management Team can vary greatly depending on the size and complexity of the projects, which in turn will affect the number of responsibilities the Senior Project Engineer will be involved in. Responsibilities: Serve as a key member of the Project Management Team, supporting the planning and execution of projects. Assist with budgeting, organization, scheduling, and implementation throughout the project lifecycle. Ensure projects are delivered on time, within budget, and in alignment with quality expectations. Promote and maintain safe and ethical work practices. Ensure compliance with all applicable federal, state, and local regulations. Adapt responsibilities based on the size and complexity of each project. Qualifications: Bachelor's Degree - Construction or Engineering preferred or equivalent experience. 3+ years prior relevant experience. Requires deep knowledge of job area typically obtained through advanced education combined with experience. Benefits: Competitive Salary range (based on experience) Excellent Insurance Package 401k w/match and Company Benefits An amazing culture focused on Diversity and Inclusion

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

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.

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.

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.