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Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more. Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them. As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable. We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team., • Great people, meaningful work, and a team that genuinely believes in what we're building. Come build the world’s best robots—and help make life-saving therapies accessible to all.Multiply Labs is an early-stage startup where equity is a major part of the compensation package. Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. What the job involves You will be part of Kiddom’s AI team, building the foundation of our search, recommendation, and insights systems. Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance.What the job involves • Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine., • Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes., • Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs., • Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization., • Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks., • Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems., • Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth.Who you are, • Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role., • Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization., • Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)., • Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments., • Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders.Desirable, • Deep expertise in modern deep learning frameworks and advanced LLM architectures., • Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use., • Experience implementing and fine-tuning large language models (LLMs), including prompt engineering, embeddings, and efficient inference optimization., • Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF., • Self-motivated innovator who thrives in fast-moving environments and is excited to explore emerging AI techniques to solve meaningful problems in education.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for Deep Neural Networks., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our customers use Chariot, our flagship product, to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise, if you push the boundaries of your own capabilities, and if you are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: • Everything as Code, • Cloud-neutral development, • User-centric design, • Hexagonal, event-driven, microservices architecture, • Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what else we’re looking for: • 6–8 years of hands-on development experience, • Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust, • Strong background in relational database design, architecture, operation, and performance, • Proficiency in Python, • Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes, • Proven experience with cloud architecture: commercial cloud, OpenStack, • Experience in the design and development of performant, scalable services, • Ability to work cross-functionally and participate in or lead design discussions, • Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment, • Experience in knowledge sharing, mentoring, and coaching (e.g., onboarding, code reviews, leading junior engineers), • Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies, • Driven, self-directed personality, • Strong sense of mission and commitment to making a difference, • Bachelor’s degree in CS or related field, or similar experience, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of: • Professional experience designing Postgres databases and optimizing query performance on them, • Familiarity with non-relational database design and architecture, • Understanding of synchronous/asynchronous programming and concurrency, • Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow), • Experience designing RESTful, gRPC, or GraphQL APIs, • Understanding of networked and distributed computing, • Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ), • Experience with workflow automation The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at . Striveworks is a participating employer in the E-Verify program.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. * Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. * This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: * Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. * Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor * Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology * Training customers (alongside the engineering teams) by organising workshops and training sessions * Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. * Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins * Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: * At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry * Experience with AI Embedded Applications * Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: * Bachelor's degree in engineering, computer science, or a related field * Great coding skills in Python, C/C++ * Knowledge of ML/AI Framework(s): TensorFlow, PyTorch * Knowledge of Embedded Development Kit(s), and an AI background * Computer architectural knowledge is a big advantage * Strong analytical and problem-solving skills * Flexibility and outstanding communication & customer service skills WE OFFER YOU: * A dynamic working environment around a fearless engineering culture, * Ambitious teams with the freedom to innovate, * A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), * An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

About BLEN BLENers are passionate about using technology to solve real-world problems. For over 20 years, we've been helping government agencies and businesses transform their digital experience. We bring fresh perspectives to every project, from modernizing legacy systems to building cloud-native applications to experimenting with technology that's just around the corner. We value building long and enduring partnerships to solve complex challenges by putting humans at the center of all the experiences. Our team thrives on turning tricky problems into solutions that are practical, accessible and performant. About this position As a Lead Software Developer at BLEN, you will play a crucial role in leading and mentoring our development team, including Senior Software Developers. You will be responsible for overseeing the technical direction of projects, making high-level architectural decisions, and ensuring the delivery of high-quality, scalable solutions. This position requires exceptional technical expertise across the full stack, strong leadership skills, and the ability to drive innovation in areas such as cloud services, AI, and emerging technologies. \n What we would like from you • Technical Leadership and Strategy, • Lead the overall technical strategy and architecture for complex, large-scale projects, • Make critical decisions on technology stack, frameworks, and methodologies, • Oversee and approve system designs and architectural choices made by team members, • Drive the adoption of new technologies and best practices across the development team, • Team Management and Mentorship, • Directly supervise and mentor a team of developers, including Senior Software Developers, • Conduct performance evaluations and provide career development guidance, • Lead technical interviews and make hiring decisions for the development team, • Foster a culture of continuous learning, innovation, and technical excellence, • Project Oversight and Delivery, • Oversee multiple projects simultaneously, ensuring they meet quality standards and timelines, • Collaborate with project managers and stakeholders to define project scopes and timelines, • Identify and mitigate technical risks across projects, • Ensure smooth integration between different components and teams, • Innovation and R&D, • Spearhead research into emerging technologies and their potential applications, • Lead the development of proof-of-concepts and prototypes for innovative solutions, • Drive the integration of AI and machine learning capabilities into our products and services, • Evaluate and implement cutting-edge AI services and APIs from providers such as OpenAI, Anthropic, Cohere, and Google VertexAI, • Guide the use of high-level AI frameworks such as Hugging Face Transformers, FastAI, or Keras for rapid prototyping and development, • Client and Stakeholder Management, • Act as the primary technical point of contact for high-profile clients and partners, • Present complex technical concepts and strategies to non-technical stakeholders, • Collaborate with business leaders to align technical strategies with business goals Basic qualifications • Essential Requirements, • 12+ years of software engineering experience, with at least 5 years in a leadership role, • Extensive full-stack development expertise, with mastery in multiple languages such as Python, Fast API, Flask, TypesScript (React, ___), Java, or Rust, • Proven experience in designing and implementing large-scale, distributed systems, • Deep understanding of cloud platforms (AWS, Azure, or GCP) and their advanced services, • Strong background in AI and machine learning, including experience with large language models (LLMs) and modern AI frameworks, • Hands-on experience with AI/ML technologies such as PyTorch, TensorFlow, JAX, or Hugging Face Transformers, • Proficiency in developing working with pre-trained models and fine-tuning for specific tasks, • Experience integrating AI services and APIs from major providers (e.g., OpenAI, Anthropic, Google VertexAI) into production systems, • Expertise in system architecture, design patterns, and software development best practices, • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Pulumi), • Strong understanding of data modeling, both for relational and NoSQL databases, • Track record of successfully leading and mentoring development teams, • Preferred Skills and Experience, • Experience in government or highly regulated industry projects, • Contributions to open-source projects or thought leadership in the tech community, • Experience in implementing microservices architectures and event-driven systems, • Knowledge of advanced AI paradigms such as RAG, few-shot learning, self-supervised learning, etc Requirement • Must be a US Citizen or legal resident and able to work domestically, • Must be located in the United States, • Must be able to attain low-level security clearance Perks • Work from anywhere., • Competitive pay., • A contribution to your health benefit., • The chance to work on high-visibility projects and make a significant impact. Get to know us • We are a small, creative and highly technical team., • Our heroes are the scrappy folks that dare to dream and do great things. We love people that care more about doing the right thing than taking a shortcut., • We believe in finishing projects and floor our clients by how much we cared about their project., • We believe in integrity and because we're small, we are very selective of our partners and clients., • We do not use phrases like 'human resource' because you are NOT a resource. You are a team member and we will treat you like one. What you should expect from us • We will treat you fairly., • We give you space to grow both personally and professionally., • We will hear your ideas even when we disagree -- especially when we disagree., • We will be equitable with our success and be honest with our challenges., • We will always tell you the truth. Even when the truth is difficult. \n$155,000 - $180,000 a yearThe salary range represents the compensation we expect to offer candidates who can perform the core responsibilities with minimal additional training. Actual compensation may vary based on factors such as skill set, level of experience, and scope of responsibility. Our recruitment team is available to discuss your specific salary requirements and to provide more information about how we determine compensation. We are committed to fair and transparent pay practices and encourage open dialogue about our compensation structure throughout the application process. We look forward to learning more about your qualifications and how they align with our framework. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR ___(c).\n

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The primary role of the Software Engineer 2 is to drive research, modernization, and innovation initiatives across mission-critical systems. This role focuses on evaluating existing production environments, identifying modernization opportunities, and delivering rapid, validated solutions through structured trade studies and short-duration experiments. You will collaborate directly with mission stakeholders to assess system gaps, design fail-fast experiments, and lead proof-of-concept development efforts that influence long-term architectural direction. Your work will directly impact modernization strategies, cloud adoption, and enterprise re-architecture efforts. Limited telework available Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). • Engage with mission stakeholders to identify operational challenges and modernization opportunities, • Conduct trade studies and produce detailed technical research reports with actionable recommendations, • Design and execute short-duration (one-week) fail-fast experiments to validate feasibility, • Lead development of proof-of-concept solutions within six-week timelines, ensuring weekly demonstrable, • milestones, • Provide accurate time, scope, and resource estimates to maintain mission schedules, • Collaborate with cross-functional teams to integrate successful prototypes into operational environments, • Plan and support replatforming, rearchitecting, and refactoring of monolithic applications into cloud-native, • solutions, • Apply secure authentication, authorization, and PKI principles within modernized architectures, • Continuously evaluate emerging technologies and propose innovative mission-aligned solutions, • TS/SCI with agency appropriate poly, • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience, • Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture, • Strong proficiency in Java, Python, and JavaScript (ReactJS), • Experience with AWS services including EC2 and S3, • Hands-on experience with REST-based services and modern API development, • Experience with the Atlassian Tool suite of software development and management products (Confluence, • and Jira), • Familiar with SAFe Agile principles, methodologies, and best practices, • Experience with system administration of solutions related to metrics and monitoring, including Splunk, • Experience configuring and sustaining VMware ESXi/Virtualization environments, • Experience with IaC principles and automation tools including Ansible, • Experience with containerization and orchestration tools such as Docker and Kubernetes, • Strong understanding of authentication and authorization frameworks including OAuth2 and OpenID Connect, • Experience working with PKI and certificate management, • Experience working in Agile development environments, • Must meet LCat Capabilities Requirements, • Experience conducting modernization trade studies and architectural assessments, • Experience with graph databases such as Amazon Neptune or Neo4j, • Familiarity with AI/ML tools such as TensorFlow, PyTorch, or Hugging Face, • Experience with GoLang, • Experience with Grafana, • Experience with identity and access management platforms such as Keycloak, • Experience with CI/CD tools including Jenkins, GitLab CI, or GitHub Actions, • Familiarity with build tools such as Maven, • Experience designing scalable, cloud-native architectures for mission systems, • Ability to interpret ambiguity and translate high-level needs into technical solutions, • Comfortable guiding junior developers and organizing tasking within collaborative teams, • Experience working in fast-paced, evolving mission environments, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection Services, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. What You’ll Do • Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments)., • Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption., • Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers)., • Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry., • Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments., • Contribute to backend services (Java 21, Python, gRPC) and platform features., • Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): • 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles., • Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi., • Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued)., • Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases., • Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar)., • Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) • Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar)., • Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch)., • Experience with GitOps workflows (ArgoCD, Flux)., • Exposure to air-gapped or on-premises Kubernetes deployments., • Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog)., • Experience providing technical support or working directly with enterprise customers on infrastructure issues., • Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company. Responsibilities: • Analyze ML models to identify and resolve performance bottlenecks., • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models., • Deliver solutions to streamline model deployment across various hardware platforms., • Collaborate with ML researchers to balance model accuracy and speed., • Implement optimizations using CUDA, Triton, and custom kernels., • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • Experience: 5+ years of experience (including experience with GPU programming and optimization), • Technical Skills:, • Strong programming skills in C++ and Python, • Proven experience in GPU programming and optimization, • Familiarity with deep learning frameworks, especially PyTorch, • CUDA programming, • Triton language for GPU kernels, • PyTorch optimization techniques, • TensorRT implementation, • ONNX model conversion and deployment, • Custom GPU kernel development, • Deep understanding of GPU architectures and performance optimization, • Problem-Solving: Strong analytical and problem-solving skills, • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders, • Autonomous vehicles (AV) experience is a bonus We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our ___ Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $11,00 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

PLEASE NOTE:This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. • ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs., • HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains., • Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition(e.g., ___, ___, ___)., • Education:PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field., • Professional Background:1-3+ years of experience as a Machine Learning Engineer or Data Scientist., • Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus., • Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration., • Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology., • Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions., • Flexible Schedule: Set your own schedule, with flexible 10-40 hour weeks that fit around your life and other commitments., • Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location., • Apply: We review applications on a rolling basis., • Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do: • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love, • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners, • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development, • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for: • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data, • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields, • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn, • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output, • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, • A team player who's able to partner with cross-functional leadership to quickly turn insights into actions, • Bachelor's degree in Computer Science, a related field or equivalent experience Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Job DescriptionApplied AI Engineer — Pointer Location: San Francisco, CA (Onsite, 5 days/week) Compensation: $180,000 – $250,000 base + competitive equity Visa Sponsorship: H-1B, O-1 supported Experience Level: 0–4 years Employment Type: Full-Time About Pointer Pointer builds AI systems that operate computers like humans — navigating browsers, processing documents, and interacting with legacy enterprise software. Their focus is enterprise finance automation, specifically replacing labor-heavy BPO workflows that historically resisted software automation. Pointer recently raised a $6M seed round from Amplify Partners (early investors in Datadog and Modal). Current team size is six in San Francisco. Existing enterprise customers include a $2B property management company automating AP and invoice workflows and a major Belgian retailer automating reconciliation across legacy systems. About the Role This is a deeply hands-on applied AI engineering role focused on the intelligence layer behind Pointer's automation platform. This is explicitly a research-to-production role — not a pure research role. Core ownership includes: • Browser agent reliability, • Document understanding systems, • Inference optimization, • Adaptive self-healing AI systems, • Fine-tuning pipelines for customer-specific workflows, • Production AI experimentation, • Latency optimization via routing, quantization, caching, and model selection, • State-of-the-art automation performance across UI interaction, tool use, and unstructured parsingRequirements, • Strong Python expertise, • Strong PyTorch fluency, • Applied ML engineering experience shipping production systems, • Metrics-driven evaluation mindset, • Comfortable working with messy real-world data, • Ability to clearly explain systems you personally built, • End-to-end production ownership, • Willingness to work onsite in San Francisco 5 days per weekNice to Have, • Reinforcement learning experience, • Retrieval systems / RAG, • Agentic systems and browser agents, • Inference optimization and fine-tuning pipelines, • Model monitoring and production LLM systems, • Applied AI workflow engineering, • Research lab exposure (SAIL, BAIR, MIT CSAIL, etc.), • Buzzword-heavy resumes with no substance, • Candidates unable to clearly explain what they built, • Scripted communication styles, • Research-only candidates with no production deliveryBenefits, • Coffee, lunch, dinner, and snacks covered, • M4 Pro/Max MacBook Pro + monitors, • Unlimited PTO, • 401(k)Interview Process, • Initial behavioral conversation, • Technical deep dive focused on real systems built, • Take-home assessment, • Paid onsite work trial (1–2 days, travel covered), • OfferLogistics, • Role is fully onsite in San Francisco — 5 days/week — please only apply if you can commit to this

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. About the Role We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment. What You'll Do * Contribute to the development of novel machine learning techniques for visual generative modeling * Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust model deployment * Collaborate with cross-functional teams to integrate research innovations * Participate in research discussions and contribute to technical documentation Required Qualifications * BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome) * 2+ years of experience in Machine Learning * Strong foundation in machine learning, particularly generative models * Solid programming skills in Python and PyTorch/TensorFlow * Experience with deep learning frameworks and model training * Understanding of fundamental concepts in computer vision and generative AI * Project experience (academic or personal) with generative models * Clear communication skills and ability to work in a research team Preferred Qualifications * Research projects or thesis work in generative AI * Experience with different types of generative models: * Diffusion Models * GANs * Transformer architectures * Large Language Models * Familiarity with distributed computing and GPU optimization * Contributions to open-source ML projects * Academic publications or workshop papers * Experience with ML infrastructure and deployment This position is onsite at our San Francisco office (4–5 days per week). We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionCareer Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in Arlington, VA or remote in Boston, SF Bay Area, San Diego or Los Angeles. This role will require a security clearance. Salary range:190-250K USD yearly plus benefits plus equity. We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Key Responsibilities: * Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. * Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints. * Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation. * Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion. * Implement real-time pipelines for processing sensor data on-device and in cloud environments. * Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance. * Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap. * Participate in code reviews, team knowledge sharing, and internal technical documentation. * Must be eligible to obtain/maintain a security clearance. Qualifications (Preferred): * Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis. * 4+ years of experience building and deploying machine learning models in production environments. * Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. * Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.). * Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization. * Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring. * Excellent debugging, experimentation, and problem-solving skills. * Strong collaboration and communication skills with both technical and non-technical team members. * Bonus: experience in maritime, aerospace, or other remote sensing domains.

Job Description About Flexion: At Flexion, we’re building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities. Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco. The Role: If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you. You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship. Requirements Must-haves: • Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output, • Reinforcement learning, • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent), • Diffusion models, • Flow matching, • Dexterous manipulation, • Sim-to-real transfer and real-to-sim calibration, • Whole-body control and loco-manipulation, • Synthetic data generation for robot learning, • Vision Language Model Fine-Tuning (SFT and RL-based), • Competitive compensation package, • A front-row seat at one of the world’s most ambitious robotics companies, • An energetic, collaborative team with a relentless bias for action, • The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Language Model Pre-Training, you'll shape our language model roadmap through end-to-end pretraining development. You will work extremely closely with our pretraining team, who will integrate your insights into our next-generation models. You'll Work Across: * Large-scale training runs and model parallelization * Performance optimization of our pretraining stack * Dataset collection, processing, and evaluation * Architecture and methodology research, including optimizer ablations What We're Looking For / Requirements: * Strong engineering aptitude for rapidly implementing reliable and robust systems * Can rapidly learn new fields and are excited to implement new ideas * Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: * Deep expertise and intuition for solving machine learning problems and training models * Experience with training on large-scale (multi-node) GPU clusters * Deep understanding of model training pipelines – including model/data parallelism, distributed optimizers, etc. * Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing * Understanding of large-scale, highly parallel data processing pipelines * High proficiency with PyTorch and Python. * Strong ability to dive into large pre-existing codebases and rapidly get up to speed * Published machine learning research in well-respected venues is a plus * Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics) Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: The Senior Staff Software Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). What You’ll Be Working On: * Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. * Implement and maintain end-to-end training pipelines for Large Language Models. * RFT and Reinforcement learning to the fine tuning and training sections * Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling). * Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale. What You’ll Bring to the Team: * Advanced degree in Computer Science, Engineering, or a related field. * 8+ years of industry experience leading and driving impactful projects in the AI Space * Experience in Generative AI (Large Language Models, Multimodal). * Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques. * Proactive and collaborative approach with the ability to work autonomously * Passion for building cutting-edge AI products and solving challenging technical problems. Bonus Points: * Proficiency in Golang or Python for large-scale, production-level services and PyTorch * Contributions to open-source AI projects such as vLLM or similar frameworks. * Performance optimizations on GPU systems and inference frameworks. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of up to $237,600 - $318,240 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies. You’ll Work Across: * Large-scale audio training runs * Performance optimization of our training stack * Audio dataset collection, processing, and evaluation * Architecture and training methodology ablations and improvements What We're Looking For / Requirements: * Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up. * Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly) * The ability to work well with others in a high-paced research setting * Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale Qualifications / Additional Skills: * Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models * Experience in training audio autoencoders * Understanding of signal processing, especially of audio signals * Experience with diffusion models, consistency models, or GANs * Experience with training on large-scale (multi-node) GPU clusters * Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing * Understanding of and interest in large-scale, highly parallel data processing pipelines * Proficiency with PyTorch and Python * Experience contributing to large pre-existing codebases and rapidly getting up to speed * Previously published machine learning research in well-respected venues * Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning) Why Work at Zyphra: * Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.- Build distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks, including but not limited to efficient CUDA kernels for training, quantization, model exporting and compilation for inference. Qualifications:- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch.- Experience across different stages of the development pipeline: data processing, distributed training and model deployment.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel build systems, and integrating third party packages into dev environments. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Model Architectures, you will be a core contributor to Zyphra’s AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models. What We're Looking For / Requirements: * Strong research taste and intuition * The ability to work through a research project from conception to execution to write-up * Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly * The ability to work well and cooperate with others in a high-paced research setting * Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: * Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment * Experience with reinforcement learning, control theory, and signal processing * Generally, a joy in inventing and seriously assessing ‘crazy’ ideas, and the ability to have a unique perspective on things * Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware * Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing * High proficiency with PyTorch and Python. * Strong ability to jump into large pre-existing codebases and rapidly get up to speed and become productive * Previously published machine learning research in well-respected venues * Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics) Why Work at Zyphra: * Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities Workato's AI Research Lab is seeking an exceptional Lead AI Research Scientist to join our growing team and define the next generation of enterprise AI systems. This is a research-first role focused on redefining and advancing enterprise AI, with an emphasis on real-world impact for developers. In this role, you will set and execute a 24-month research vision spanning deterministic planners, self-healing automations, retrieval-augmented workflow graphs, and agent evaluation frameworks, while ensuring these innovations translate into real-world impact. The ideal candidate brings deep technical expertise alongside a strong record of execution. You will build, lead, and mentor a team of applied researchers and interns, fostering a culture of technical excellence, strong authorship, and open scientific contribution. This role will define and drive forward-looking research initiatives while bridging the gap between cutting-edge innovation and production-ready enterprise solutions. You will partner closely with Product and Engineering teams to productionize prototypes within six months of proof of concept and engage directly with lighthouse customers to validate ideas and convert insights into scalable reference architectures. In this role, you will also be responsible to: * Defining a 24-month research roadmap focused on automated agent building and optimization. goal based agent deign, synthetic data, automated postraining and RL, eval techniques, model optimizaiton * Hiring, coaching, and inspiring a team of 10+ applied researchers and interns; fostering a publication-quality bar and culture of open science. * Publish peer-reviewed papers and secure patents that differentiate Workato in enterprise AI. * Partner with Product and Engineering to productionize prototypes within six months of proof of concept. * Engage lighthouse customers to validate research and convert learnings into reference architectures. RequirementsQualifications / Experience / Technical Skills * MS/PhD in Computer Science, Machine Learning, or a related field. * 5+ years leading applied research teams. * Hands-on experience with PyTorch or JAX and modern LLM frameworks. * Proven track record of transitioning research into production within large-scale systems. * Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR). * Hands-on experience with large-scale model training, transformer architectures, reinforcement learning techniques, and CUDA. * Deep expertise across structured and unstructured enterprise data modalities. * This role is onsite in our SF Office Soft Skills / Personal Characteristics * Clear communicator able to translate complex research into business value. * Ability to explain complex ideas to non-experts. * Inspirational leader who attracts, mentors, and retains top talent. * Comfortable making decisions in a fast-moving, on-site lab environment. * Collaborative mindset; thrives at the intersection of research and product. * Experience operating in high-growth startup environments. For California applicants, the pay for this role begins at $357,000 plus variable, benefits, perks and equity. (REQ ID: 2730)

Job Description Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world, starting with food. We build AI-powered robots that assemble fresh meals at scale for some of the largest food producers in North America — companies making ready-to-eat meals for airlines, retailers, meal kits, and the frozen food aisle. Our robots operate in high-mix, high-variability production environments where ingredients change shape, color, and consistency from one tray to the next. Solving this requires tightly coupled perception, manipulation, and learning — and a team that ships hardware-software systems into customer facilities and keeps them running. Headquartered in San Francisco, we are a venture-backed team of robotics, ML, and operations engineers building the foundation for general-purpose food robotics. About the Role As a Staff Autonomy Engineer, you will own the technical architecture of Chef's autonomy stack end-to-end — from perception and action prediction through closed-loop control and production deployment. This is a hands-on technical leadership role: expect to spend the majority of your time designing and building, with the remainder setting direction, mentoring engineers, and driving cross-functional alignment. You will report directly to the engineering leadership and have direct influence over how Chef's autonomy systems scale across a growing commercial fleet. We are a small, high-ownership team. We work onsite five days a week and move with startup urgency. In this role, you will: • Own the end-to-end architecture and hands-on development of Chef's autonomy stack — perception, action prediction, closed-loop control, and sensor fusion — from prototype through production deployment, • Design and implement learning-based systems that predict and execute robot actions from visual and operational observations, generalizing across diverse ingredient types with minimal per-item tuning, • Build closed-loop control systems that integrate vision, weight feedback, force-torque sensing, and trajectory planning for robust real-world manipulation, • Develop rapid onboarding capabilities — algorithms and tooling that enable new meal types and ingredient configurations to be deployed quickly from minimal demonstrations, • Instrument autonomy systems for production monitoring, failure detection, and continuous improvement; build data collection pipelines that feed back into model retraining, • Define objective qualification criteria for autonomy subsystems; drive reliability and performance improvements using production data across the deployed fleet, • Investigate and integrate the latest advances in robot learning, foundation models, and manipulation research — continuously evaluating what's ready to move from research into production, • Mentor senior engineers, lead design reviews, and help build a team capable of scaling Chef's autonomy stack to hundreds of deployed systemsWhat You Bring:, • Demonstrated experience shipping a complete autonomy or manipulation system to real-world deployment — not just simulation or research prototypes, • Deep technical expertise across at least two of: perception systems, visuomotor control, action prediction, sensor fusion, or motion planning, • Strong software engineering fundamentals in Python and C++; experience building production-quality, maintainable systems across research and deployment codebases, • Track record of technical leadership: driving architecture decisions, leading cross-functional projects, and raising the engineering bar on a team, • Comfort with ambiguity and urgency — able to set direction and execute in a fast-moving startup environmentNice-to-have:, • Experience with food, agricultural, or consumer goods robotics where object variability is high, • Experience with ML frameworks (PyTorch preferred) and the full model lifecycle — training, evaluation, deployment, and field iteration, • Familiarity with foundation model approaches for manipulation: diffusion policies, VLAs, world models, JEPA-style architectures, • Background in sim-to-real transfer, domain randomization, or synthetic data generation for manipulation, • Experience with ROS and real-time robotics middleware

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies. You’ll Work Across: * Large-scale EEG model training runs and evaluation * Architecture and training methodology ablations and innovations * Dataset collection and preprocessing for EEG and other BCI modalities * Performance optimization of the training stack * Integration of models into real-world BCI applications What We're Looking For / Requirements: * Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module * Excellent communication and collaboration skills, with clean and concise coding practices * Strong implementation and prototyping skills, with comfort working across both research and engineering at scale * Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain * Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space * Proficiency with PyTorch and Python Qualifications / Additional Skills: * Experience with VAEs, GANs, diffusion models, and contrastive learning * Familiarity with signal processing (especially for EEG) and time-series analysis * Experience training on large-scale (multi-node) GPU clusters * Experience contributing to large existing codebases and ramping up quickly * Previously published machine learning research in well-respected venues Why Work at Zyphra: * Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Workato AI LabAbout Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises. Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers. We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models * High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies In this role, you will also be responsible to: * Conduct original research on LLM agent architectures and optimization techniques * Develop and evaluate novel algorithms with both academic rigor and production feasibility * Present your work at internal research seminars and external conferences * Mentor and collaborate with LLM engineers on implementation and deployment RequirementsQualifications / Experience / Technical Skills * Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields * Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL) * Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco office * Ability to work independently and collaborate across research and engineering teams Preferred: * Experience with self-evolving agent systems * Proficiency in CUDA programming and custom kernel development for LLM operations * Background in reinforcement learning-based LLM fine-tuning * Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem * Experience bridging academic research with production systems * Open-source contributions to widely-used ML infrastructure projects (REQ ID: 2690)

Job Description Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The role We’re looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next-generation “sleep intelligence.” You’ll work across data, modeling, product, and engineering to translate research into reliable, measurable improvements for members. This role is ideal for someone who loves end-to-end ownership: from problem framing → prototyping → offline evaluation → online experimentation → production deployment → iteration. How you’ll contribute * Build and deploy ML models that improve sleep experiences through personalization, prediction, and behavior understanding (e.g., readiness forecasting, event detection, individualized recommendations). * Apply and adapt foundation-model capabilities to real product workflows (LLM + tools/RAG, multimodal modeling, policy learning), including MCP-style integrations where helpful. * Develop user behavior models that connect longitudinal signals (sleep, environment, routines) to actionable interventions - grounded in robust experimentation and measurement. * Design evaluation strategies (offline metrics, slice-based analysis, calibration, reliability, fairness) and partner with Product to run high-quality online experiments. * Productionize models: scalable training/inference pipelines, model monitoring, drift detection, alerting, and continuous improvement loops. * Collaborate with cross-functional partners (Product, Mobile, Backend, Clinical) to scope requirements and ship high-impact features. What you need to succeed Minimum Qualifications * 2+ years building ML systems in production, ideally for consumer-facing products. * Strong ML fundamentals across supervised learning, sequence/time-series modeling, and modern deep learning. * Hands-on experience with large-scale model training and evaluation (PyTorch/TensorFlow/JAX), and strong Python engineering practices. * Experience with personalization systems (ranking/recommendations, segmentation, lifecycle modeling, propensity/behavior modeling, causal/experiment-aware thinking). * Fluency with data tooling (SQL, distributed compute such as Spark/Ray, and cloud storage/compute). * Strong product sense: you can translate ambiguous goals into measurable outcomes and iterate quickly with stakeholders. Bonus Points * Experience applying LLMs/foundation models to product features (tool use, retrieval, structured outputs, guardrails, evals). * Experience with multimodal data (sensor signals + context) and/or health/biometrics data. * Experience with privacy-preserving approaches (on-device/federated learning, differential privacy, data minimization). * Experience designing experimentation frameworks or causal inference approaches for personalization. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careers At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities • Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency., • Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions., • Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance., • Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment., • Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies.Required Qualifications, • Core Stack:, • 5+ years proficiency in Python and PyTorch., • 3+ years proficiency in C++ for production deployment and optimization., • Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow)., • Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements., • Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning., • Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision.Preferred Qualifications, • 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus., • Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.).The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv

Job DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We’re looking for an ML engineer to design, train, and ship the vision-language-action (VLA) foundation model at the core of Humble’s autonomous driving stack. You’ll work across the full arc—from architecture decisions and large-scale training to closed-loop evaluation in simulation and deployment on our trucks. This is a rare chance to build a production VLA for autonomous freight from the ground up, with the freedom and responsibility that comes with a small team tackling a massive problem. Key Responsibilities * Design and iterate on our VLA model architecture—including the VLM backbone, action decoder, and multimodal fusion pipeline * Build and optimize large-scale training infrastructure (distributed training, data pipelines, mixed-precision, efficient fine-tuning) * Develop simulation-based evaluation and closed-loop training workflows using photorealistic neural rendering * Curate and manage multimodal training datasets spanning real-world driving and synthetic scenarios * Translate state-of-the-art research (diffusion/flow-matching action heads, reasoning-augmented VLAs, world models) into production-grade systems * Collaborate directly with vehicle systems and controls engineers to integrate model outputs into a real-time autonomous driving stack Minimum Qualifications * MS or PhD in Computer Science, Machine Learning, Robotics, or a related field—or equivalent industry experience * Strong proficiency in PyTorch, distributed training, and GPU-accelerated workflows * Solid foundation in transformer architectures, attention mechanisms, and modern generative modeling (diffusion, flow matching) * Eligible to work in the United States Preferred Qualifications * Experience building or contributing to end-to-end autonomous driving systems * Track record of publications at top ML/robotics venues (NeurIPS, ICLR, ICRA, CoRL) or significant open-source contributions * Familiarity with sim-to-real transfer, photorealistic simulation, or neural rendering for driving scenes * Experience with reinforcement learning, imitation learning, or learning from demonstration in embodied settings * Comfort operating as an early team member—high ownership, low ego, fast iteration Compensation This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. Additional Information As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: The Principal Software Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). What You’ll Be Working On: * Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. * Implement and maintain end-to-end training pipelines for Large Language Models. * RFT and Reinforcement learning to the fine tuning and training sections * Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling). * Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale. What You’ll Bring to the Team: * Advanced degree in Computer Science, Engineering, or a related field. * 8+ years of industry experience leading and driving impactful projects in the AI Space * Experience in Generative AI (Large Language Models, Multimodal). * Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques. * Proactive and collaborative approach with the ability to work autonomously. * Passion for building cutting-edge AI products and solving challenging technical problems. Bonus Points: * Proficiency in Golang or Python for large-scale, production-level services and PyTorch. * Contributions to open-source AI projects such as vLLM or similar frameworks. * Performance optimizations on GPU systems and inference frameworks. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of up to $208,725 - $279,565 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionBuild AI to co-invent the future Our mission is to empower people to invent solutions for the world’s hardest problems, working together with scalable and reliable AI agents. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust. Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. We move fast, think from first principles, and build with purpose. We believe that great results come when people take ownership, grow together, and share both the challenges and the wins. What you'll do Bring deep kernel expertise to our AI agents that optimize high-performance, mission-critical computing systems. You'll shape the tools and feedback loops those agents use to improve performance across real workloads. You’ll work at the intersection of kernel engineering and applied AI to scale up AI agents that design and build complex systems. What you have * Strong CUDA C experience, with hands-on work implementing or optimizing kernels for ML or other GPU-heavy workloads * Fluency in Python and C/C++, and familiarity with the ML kernel ecosystem (PyTorch, Triton, JAX, as well as other frameworks such as CUTLASS, cuBLAS) * Deep knowledge of NVIDIA GPU architecture, performance tooling, and profiling * Exposure to low-level primitives and tools like PTX and XLA * Excellent analytical thinking from first principles and communication skills Nice to have * Ability to work effectively with AI coding agents like Claude Code * Experience with TPUs, AMD GPUs, edge AI, or other accelerator ecosystems * Familiarity with distributed systems Compensation, benefits, and perks We offer competitive compensation + stock options, full health coverage, and a 401(k) match, plus additional wellness perks, flexible hours, and unlimited PTO. We prioritize growth and connection through daily meals in office, learning budgets, and regular team socials. Compensation Range: $150K - $250K

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: The Principal Software Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). What You’ll Be Working On: * Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. * Implement and maintain end-to-end training pipelines for Large Language Models. * RFT and Reinforcement learning to the fine tuning and training sections * Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling). * Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale. What You’ll Bring to the Team: * Advanced degree in Computer Science, Engineering, or a related field. * 4-5+ years of industry experience leading and driving impactful projects in the AI Space * Experience in Generative AI (Large Language Models, Multimodal). * Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques. * Proactive and collaborative approach with the ability to work autonomously * Passion for building cutting-edge AI products and solving challenging technical problems. Bonus Points: * Proficiency in Golang or Python for large-scale, production-level services and PyTorch * Contributions to open-source AI projects such as vLLM or similar frameworks. * Performance optimizations on GPU systems and inference frameworks. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of up to $172,425 - $230,945 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Us We are Sila, a next-generation battery materials company. Our mission is to power the world's transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are You are excited to build the intelligence layer for manufacturing operations: systems that help the factory understand what is happening, predict what is likely to happen next, and respond earlier and better as a result. You are a strong technical builder who likes hard problems with real operational consequences. You can take an ambiguous manufacturing problem and turn it into a working system that engineers and operations teams actually use. You are comfortable working across software, data, engineering logic, and manufacturing systems. You know how to deal with noisy plant data, imperfect systems, and messy failure modes. You do not stop at visibility. You build systems that drive action. We are looking for someone who has built and shipped systems that changed how an operation runs. Build Manufacturing Intelligence Systems • Build in-house production systems that ingest plant telemetry, live data feeds, event logs, quality data, maintenance history, and operational context to improve manufacturing prediction and closed-loop response, • Reconstruct equipment and process behavior from raw data and surface meaningful deviations between expected and actual execution, • Develop systems that identify process drift, classify fault patterns, and quantify operational risk before failures, downtime, or quality losses fully materialize, • Turn raw manufacturing signals into reliable services and applications that improve uptime, yield, and execution speedDevelop Models That Matter, • Build and deploy machine learning models for anomaly detection, fault classification, process monitoring, quality prediction, forecasting, and related manufacturing use cases, • Develop models that connect recipe conditions, process parameters, equipment behavior, and intermediate process results to downstream product quality and performance outcomes, • Build feedforward and feedback models that use upstream signals, in-process data, and downstream results to improve decisions during execution, • Apply AI models and agentic workflows only where they materially improve engineering execution, diagnosis, knowledge retrieval, or workflow automation, • Build hybrid solutions that combine deterministic engineering logic, statistical methods, optimization, machine learning, and foundation models where each adds the most value, • Convert model outputs into practical operational logic that supports triage, escalation, intervention, and actionDeploy Into Real Operations, • Design and deploy production-grade APIs, model services, pipelines, and internal tools that are reliable enough for day-to-day plant use, • Build workflows for feature generation, inference, event detection, and feedback into operational systems, • Partner closely with Manufacturing, Process Engineering, Controls, Quality, Data Systems, and Software teams to ensure outputs are technically sound and tied to real plant actions, • Help define the architecture and roadmap for operations intelligence across manufacturing and adjacent factory workflows Qualifications • Bachelor's, Master's, or PhD in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field, • Strong programming skills in Python and experience building production-quality software, internal applications, or data products beyond notebooks and dashboards, • Strong experience with scientific computing and machine learning libraries such as pandas, NumPy, SciPy, scikit-learn, statsmodels, PyTorch, TensorFlow, XGBoost, or equivalent tools, • Experience building and deploying software services, APIs, data pipelines, or internal platforms using tools such as FastAPI, Flask, SQL, Spark, Airflow, dbt, or similar technologies, • Experience working with time-series, sensor, event, equipment, MES, historian, quality, or other industrial data, • Experience training, validating, and deploying custom models for prediction, classification, anomaly detection, forecasting, optimization, or control-related use cases, • Strong systems thinking and the ability to translate ambiguous plant problems into robust technical solutions, • Experience taking technical systems from concept to deployment with measurable real-world impact, • Strong written and verbal communication skills and the ability to work effectively across technical and operational teamsPreferred Qualifications, • Experience building models that connect process conditions or recipe parameters to downstream quality or product performance outcomes, • Experience with predictive maintenance, process monitoring, fault analysis, quality prediction, or root-cause analysis in industrial settings, • Familiarity with MES, historians, plant systems architecture, or controls-adjacent environments, • Experience with sequence modeling, multivariate analysis, optimization, simulation, or hybrid physics and data-driven approaches, • Experience using modern AI workflows, including LLMs or agentic systems, in practical engineering or operational contexts

Job Description The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform. We provide the tools to automate the lifecycle of our AI workflow, including model development, evaluation, optimization, deployment, and monitoring across thousands of video streams. As a Machine Learning Engineer in ML Runtime & Optimization, you will develop technologies to accelerate the training and inference of computer vision models that power smart spaces and cities. Your responsibilities will include: * Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. * Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. * Model Acceleration: Applying advanced model optimization techniques—such as quantization (Int8/FP16), pruning, and layer fusion—to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency. * Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. * Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product. * Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training. Requirements * BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline. * Strong programming skills in C/C++ and Python. * Experience with model optimization, quantization, and efficient deep learning techniques (e.g., knowledge distillation, pruning). * Deep understanding of GPU hardware performance, including execution models, thread hierarchy, memory/cache management, and the cost/performance trade-offs of video processing. * Experience with profiling and benchmarking tools (e.g., Nsight Systems, Nsight Compute) to validate performance on complex architectures. * Experience identifying and resolving compute and data flow bottlenecks, particularly in high-bandwidth video processing pipelines. * Strong communication skills and the ability to work cross-functionally between research and infrastructure teams. Preferred Qualifications * Familiarity with database systems (e.g., SQL, Neo4j). * Work in Computer Vision, Deep Learning, and Vision Transformers. * Experience with video processing frameworks such as NVIDIA DeepStream, DALI, or FFmpeg. * Familiarity with ML compilers (e.g., TVM, MLIR) or inference engines like TensorRT or ONNX Runtime. * Knowledge of distributed training systems or cloud-scale inference serving (e.g., Triton Inference Server).

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) — IN Type: Contract Compensation: $35–$45/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics., • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions and provide clear, written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. Must-Have • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton., • Demonstrable career progression., • Ability to engage reliably for at least 30 hours/week during weekdays., • W-2 employment with Cincinnatus LLC., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities: * Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent * Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models * Develop robust evaluation frameworks to measure model alignment, safety, and output quality * Create and optimize data collection pipelines for human feedback and preferences * Design and conduct experiments to validate alignment techniques and their scaling properties * Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment * Mentor junior researchers and foster a culture of responsible AI development * Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models * Extensive experience implementing and optimizing large-scale training pipelines using PyTorch * Deep understanding of reinforcement learning techniques, particularly RLHF * Experience with distributed training systems and large-scale experiments * Proven track record in designing and implementing robust evaluation frameworks * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Strong software engineering skills and experience with complex shared codebases * Ideal candidate will have: * Experience with diffusion models or other generative architectures * Background in fine-tuning large language models or generative models * Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as constitutional AI or debate * Track record of successful collaboration with product teams * Experience with perceptual quality metrics and human evaluation design * Contributions to open-source projects in AI alignment or generative AI Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will…- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.- Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L). Qualifications:- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.- The US yearly salary range for this role is: $134,000 - $235,000 USD - The Canada salary range for this role is: $171,000 - $270,000 CAD In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Cloud Data & AI Architect – Enterprise Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a Cloud Data & AI Architect to lead the design and delivery of enterprise-scale data and AI platforms. This role focuses on building scalable cloud ecosystems that enable advanced analytics and AI-driven innovation. Key Responsibilities: • Architect and implement modern cloud data and AI platforms, • Define architecture standards, governance models, and best practices, • Collaborate with cross-functional teams to deliver scalable solutions, • Strong experience in cloud architecture (AWS, Azure, GCP), • Expertise in designing large-scale data platforms, • Data Engineering: Databricks, Snowflake, Azure Synapse, BigQuery, • ML/AI Engineering: Python, PyTorch, MLOps frameworks, • GenAI & Agentic AI: Experience with LangChain and LLM-based systems

At HomeVision, we’re enabling the home valuation and appraisal industry to efficiently value a $40 trillion asset class, bringing equity and transparency to the US housing market. We’re funded by Initialized Capital and seeing good traction and revenue growth. We are looking for a talented Frontend Engineer to help evolve our products and delight our customers. Strong empathy for our end users and an ability to think holistically about the product are essential to succeed in this role. What you’ll do: You’ll work on a modern React/Typescript and Golang stack, building workflow automation products for our core user base of home appraisal professionals. HomeVision engineers are empowered to work on the entire product, not just a specific layer of the stack. This could range from productionizing a valuation model to optimizing customer onboarding to building frontend data visualizations that communicate results in a humane, intuitive way. What you’ll bring: * Strong experience in full-stack development on both backend and frontend systems and frameworks. * Proven working experience in Unix/Linux environments and on distributed systems * Ability to learn and master new programming languages and technologies. Bonus points: * Experience in one or more of the following technologies: Go, Python, React/Typescript, Elasticsearch, and Docker. * Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus. What we'll offer you: * A competitive salary and a meaningful equity package * Medical, Dental, and Vision coverage * 401k * Paternity/maternity leave * Flexible vacation policy * A high degree of autonomy and ownership of your work * Support for your professional goals and learning within and beyond the company, through your manager and peers

Job Description Location: San Francisco, CA Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role requiring US Citizenship or Green Card. We are seeking a Legal Practice Technology Data Scientist. This position can be in San Francisco, Los Angeles, Chicago, or New York – relocation assistance is not offered. If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm’s Innovation Program. Our client upholds strict performance standards and fosters a culture focused on continuous growth. Individuals who exhibit initiative and dedication will be offered opportunities for increased responsibilities and long-term professional advancement within the organization. Must be a U.S. Citizen or Green Card holder – sponsorship is not available Desired Qualifications and Experience: • Bachelor’s degree, • 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment., • Ability to translate complex concepts into client-friendly language., • Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions., • Knowledge of statistical analysis and data modeling., • Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting., • Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design., • Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI., • Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines., • Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards., • Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction., • General knowledge of social network analysis, natural language processing, classification algorithms, and image processing., • Familiarity with git, svn, JIRA, or other version control technologies., • Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs)., • Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions)., • Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred. Summary of Responsibilities: Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout. Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth. Department Initiatives. You will work closely with other data science teams and Legal Practice Technology (“LPT”) leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job DescriptionResearch Intern (PhD), Machine Learning Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD. * You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation * You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets * You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery * You will present your research findings and contribute to publications in top-tier conferences and journals * You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology Who We're Looking For * You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field * You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow * You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues * You are proficient in Python and have experience with large-scale data processing and analysis * You have excellent problem-solving skills and the ability to work independently on complex research problems * You are passionate about applying AI to solve real-world challenges in biology and medicine * You have strong communication skills and can effectively present technical concepts to diverse audiences * You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field Bonus Points * Experience with biological data analysis or computational biology projects * Familiarity with generative AI models, such as transformers or diffusion models * Contributions to open-source machine learning or bioinformatics projects Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage