Operations engineer jobs in Alameda, CA

Senior Machine Learning Engineer (LLM / Audio / Voice AI) $200,000-$300,000 + Equity San Francisco Bay Area (Relocation + Sponsorship Available for Exceptional Talent) Permanent Our client is a rapidly scaling AI startup operating at $1M+ ARR per employee, building the next generation of real-time voice automation. They're now hiring exceptionally talented (Doesn't matter the years of experience) ML Engineer to help push the boundaries of speech, audio, and LLM-driven systems. This role sits at the core of their product: Training LLMs and audio models Designing high-performance ML infrastructure Deploying models that must operate reliably under real-world, latency-sensitive conditions Work end-to-end - experimentation, evaluation, productionisation, and continuous improvement The environment is fast-paced, deeply technical, and highly collaborative, with 80%+ onsite time expected. This is a true startup role: long hours, high ownership and reward, fast iteration, and the chance to make outsized impact on a rapidly growing product used by hundreds of thousands of customers. They're looking for engineers with strong academic foundations and demonstrated technical excellence (advanced degrees or standout research/engineering experience), plus hands-on experience shipping ML systems in demanding environments. If you thrive in ambiguity, love building real-world AI systems, and want to help shape a high-velocity ML organisation from the ground up, this is the opportunity. Apply now or reach out for details or to explore the role confidentially.

Senior Digital Twin ML Engineer - San Francisco, CA A company building AI systems that can interact with the physical world at scale - designing experiments, controlling hardware, and accelerating scientific discovery from days to reality are looking for a Senior Digital Twin ML Engineer to join their team. What Will I Be Doing: Develop model-identification pipelines, parameter fitting routines, and adaptive calibration systems for digital twins Build ML-based dynamic models, multi-scale physics approximators, and hybrid simulation frameworks Ensure twin fidelity, stability, and cross-version consistency as real systems evolve and new data arrives Collaborate with simulation, RL, controls, and agent systems teams to integrate digital twins into learning and decision-making workflows What We're Looking For: Strong experience building or calibrating digital twins, dynamic models, or data-driven physics models Familiarity with system identification, time-series modeling, physical parameter estimation, and stability/fidelity considerations Ability to blend physics intuition, machine learning, and experimental data into robust predictive models Comfortable working across ML, simulation tools, and physical hardware interfaces in a fast-moving environment What's In It For Me: Salary of $200,000 - $300,000 dependent on experience Greenfield work. Build something that doesn't exist, at the frontier of physical AI and automated hardware design Real impact. Control actual physical systems contributing to breakthroughs in cancer detection, materials science, and more Join a company backed by significant venture funding and a $42M government research programme Apply now for immediate consideration!

📍 Hayward, CA (On-site; occasional visits to Fremont, CA) 🕒 Contract: 6-12 months 💲 $75-85/hour 🏭 Industry: Autonomous Mobility About the Role We're seeking an experienced SAP Operations Support Engineer to support and enhance SAP systems and operational tools for Base Operations, with occasional support for General Assembly. This role focuses on SAP S/4HANA data integrity, system configuration, process improvement, and cross-functional collaboration to improve operational efficiency across vehicle operations. The ideal candidate is highly detail-oriented, self-driven, and comfortable working in fast-paced, complex environments. You enjoy solving system, data, and process challenges and can communicate effectively with both technical and non-technical partners. Key Responsibilities SAP Support & Data Management Act as the SAP data steward, maintaining vehicle lists, work centers, measuring points, counters, maintenance plans, task lists, catalog codes, and equipment structures. Partner with Business Applications teams to resolve data inaccuracies and support As-Maintained BOM cleanup. Provide SAP configuration management support for Base Operations ahead of major milestones. Identify and lead SAP product improvements and automation initiatives. Evaluate SAP user experience and drive enhancements to improve usability and adoption. Serve as the primary SAP subject-matter expert, providing troubleshooting, maintenance, and ongoing system support. Collaborate with training teams to develop role- and module-specific SAP training for BaseOps users. Systems, Infrastructure & IT Application Support Provide IT application support for critical Base Operations systems and act as a liaison with Corporate IT. Lead infrastructure and application improvement projects based on data insights and user feedback. Support technical publications and service manual authoring tools, release software, and customer-facing documentation systems. Partner with documentation teams to improve documentation review and release processes. Support development and use of analytics tools, dashboards, and reporting frameworks. Lead data auditing and compliance efforts to ensure accuracy, governance, and system reliability. Communicate project status, milestones, and outcomes to internal and external stakeholders. What You'll Work On Daily Collaborate closely with Business Applications on SAP data accuracy and system improvement initiatives. Work cross-functionally with Program Management, Strategic Operations, Data Science, Fleet Support, and Engineering teams. Monitor and support critical BaseOps systems and assets, including troubleshooting and maintenance. Support software and hardware rollouts, user training, and system infrastructure planning. Contribute to projects involving SAP S/4HANA, SAP MES, and related IT systems that improve system efficiency and operational uptime. Occasionally support website maintenance, operational analytics databases, dashboards, and vehicle production line systems. Qualifications Bachelor's degree in Information Technology, Engineering, or equivalent experience. 6-8 years of experience in a systems operations or IT support role. Hands-on experience with SAP S/4HANA. Strong verbal and written communication skills. Highly self-motivated, detail-oriented, and able to manage competing priorities. Experience with UI development and maintenance, including UX studies. Coding experience with HTML, CSS, and JavaScript. Broad IT systems knowledge and operational awareness. Nice to Have Experience with SAP ME/MII. Familiarity with Jira, Confluence, or similar ticketing/documentation tools. Experience with web development tools (e.g., Oxygen). Experience building dashboards and data analytics tools. Prior systems support experience in production environments or vehicle fleets. Interview Process 30-minute Zoom interview with the Hiring Manager 1-1.5 hour panel interview with the technical team

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.

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

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

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

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.

Senior Machine Learning Engineer (Online Trust & Safety) *We are unable to sponsor at this time.⏰ 📢New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good. Summary: You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions. Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection. Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams. Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification. Analyze business use cases and identify areas where AI models may have predictive limitations or biases. Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch. Experience: Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP. Hands-on experience with generative AI models. Expertise in applying machine learning models in a professional environment with large, complex datasets. Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark. Familiarity with multimodal AI models combining text, image, and video data. Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research. Education: Master's in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required) Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee 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.

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

Boulevard is the fastest-growing client experience platform, designed to empower appointment-based self-care businesses like salons, spas, and medspas nationwide. Our innovative platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized and reliable solutions. Developed in collaboration with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture-backed startup that's challenging norms to advance the intersection of beauty and technology. Join us as we help businesses provide exceptional, meaningful moments for their clients. Role Description As a Staff Analytics Engineer, you will play a key role in developing and maintaining data analysis tools and infrastructure to support Boulevard's business objectives. Your daily responsibilities will involve building and optimizing scalable data pipelines, performing data modeling tasks, supporting Extract, Transform, Load (ETL) processes, designing effective data warehouse solutions, and conducting in-depth data analytics to support decision-making. This is a full-time, on-site role located in San Ramon, CA. Qualifications Proficiency in Data Engineering and experience with building scalable data solutions. Strong knowledge of Data Modeling and implementing structured data solutions for analytical use. Hands-on experience with Extract, Transform, Load (ETL) processes and ensuring efficient data integration workflows. Expertise in developing and maintaining Data Warehousing solutions and managing large datasets. Solid understanding and application of Data Analytics to generate actionable business insights. Proficient in SQL and programming languages such as Python or Scala. Comprehensive knowledge of cloud technologies and platforms like AWS or GCP. Excellent problem-solving skills and ability to effectively communicate technical concepts to various stakeholders. A Bachelor's or higher degree in Computer Science, Engineering, Data Science, or a related field is preferred. Relevant professional experience may be considered.

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

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

Senior Machine Learning Engineer (Online Trust & Safety) *We are unable to sponsor at this time.⏰ 📢New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good. Summary: You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions. Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection. Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams. Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification. Analyze business use cases and identify areas where AI models may have predictive limitations or biases. Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch. Experience: Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP. Hands-on experience with generative AI models. Expertise in applying machine learning models in a professional environment with large, complex datasets. Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark. Familiarity with multimodal AI models combining text, image, and video data. Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research. Education: Master's in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required) Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee 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.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast