Machine learning jobs in Oakland, California - Page 18Créer des alertes d'emploi

Job DescriptionA Bit About Us We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and engage with the broader scientific community. The Opportunity We’re seeking a Project Director to operationalize scientific programs that develop and scale Arcadia’s experimental and computational biology platforms, including areas such as high dimensional phenotyping, molecular genetics, and protein design. This role is ideal for a PhD scientist who thrives at the interface of science and management—an operator who amplifies scientific leadership by bringing structure, focus, and coordination to their efforts. Strong candidates can quickly translate high-level scientific goals into actionable research plans, guide experimental progress, and ensure effective collaboration and communication across teams. As Project Director, you’ll manage a small group of scientists who are responsible for executing the scientific agenda set by a scientific leadership. You’ll turn research goals into concrete roadmaps, manage cross-functional dependencies, and ensure efficient execution across projects. You’ll help prioritize work, set milestones, identify bottlenecks, and ensure your team is resourced, aligned, and focused. You’ll also drive communication about research progress across teams, scientific program leads, and leadership to ensure alignment and allow effective, rapid iteration. Who You Are This is a role for someone who understands that ambitious science needs excellent execution. We are looking for someone who takes pride in keeping complex efforts on track, surfacing insights early, and creating clarity amid scientific complexity. You’re a scientifically literate, operationally minded leader who sees yourself as a key, enabling partner to the scientists you manage. You’re motivated by helping others realize technical goals, and you approach your work with curiosity, humility, and precision. We’re especially excited about candidates who bring depth in two or more of the following:- Molecular tool development- Cross-species molecular genetics- Optical tool development or imaging-based phenotyping- Protein design or protein engineering- In vitro and in vivo functional assay development You’re skilled at translating abstract vision into concrete plans and ensuring that progress stays visible and coordinated, often across both experimental and computational teams. You balance urgency with respect for scientific uncertainty, and you bring just enough structure to make bold ideas executable without dampening creativity. You understand that your success is measured not by control or local metrics, but by how effectively you enable outcomes.Within 1 Month, You Will • Develop a clear understanding of the relevant scientific vision, goals, and decision-making structure., • Build strong working relationships with your team, scientific leadership, and cross-functional collaborators., • Design a 90-day execution plan aligned with the scientific roadmap and team priorities., • Establish operational systems for tracking progress, such as check-ins, dashboards, and milestone reviews., • Begin coordinating timelines, dependencies, and communication across teams.Within 2–3 Months, You Will, • Take full ownership of project execution, ensuring that scientific goals translate into actionable, trackable work plans., • Facilitate communication between scientific leads and contributing teams, ensuring clarity around priorities and deliverables., • Identify risks, bottlenecks, and resource needs early, surfacing them for scientific or organizational decision-making., • Refine operational rhythms and mechanisms to improve transparency and accountability without adding friction or bureaucracy.By 6 Months, You Will:, • Establish consistent execution across projects within your program area., • Proactively synthesize learnings, dependencies, and progress updates for scientific and organizational stakeholders., • Strengthen collaboration between teams by clarifying interfaces, expectations, and shared milestones., • Create systems that make it easier for scientific leads to focus on strategy and discovery, while keeping execution smooth and visible.Must Have Qualifications, • PhD in the life sciences or a related field, and at least three years of post-PhD work, • 3+ years leading complex, multi-stakeholder research and development projects or programs in a fast-paced, goal-oriented environment, • Familiarity with research operations or project management tools, • Experience developing complex experimental and/or computational workflows (for example, high-throughput assays, molecular or optical methods, or modeling/design pipelines), • Demonstrated ability to design and deliver structured execution in dynamic, research-driven environments, • Exceptional communication, organization, and facilitation skills, • Experience supervising or mentoring scientists, • Comfort navigating ambiguity and helping others make progress through itNice to Have Qualifications, • Experience in high throughput molecular assays, genetic perturbation screens, or imaging-based multi-dimensional phenotyping, • Experience in protein design or protein engineering, protein biochemistry or structural biology, or integrating machine learning/protein language models into design or analysis workflows, • A track record of open, collaborative work (e.g., preprints, open data, code sharing)

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, Machine Learning is one of the most critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great machine learning engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in-office presence and work-from-home experience for our valued employees. The Impact You'll Make You will be part of an avid and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. • Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor, • Develop personalized content and user recommendation systems that millions of users rely on daily, • Run and analyze live user-facing experiments to iterate on model quality, • Collaborate with other engineers and data scientists to create optimal experiences on the platform, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Master's Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026, • Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph), • Internship in machine learning engineering in a related field (e.g. social networking, e-commerce), • Strong programming skills in Python or Java, • Effective communication and collaboration skills, • Passion for Nextdoor's mission and purpose, • Bonus Points - Industry experience of applying machine learning at scale The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. Perks & Benefits We've got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes: • Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc), • Flexible paid time off, • Dedicated volunteer days, • Stocked micro-kitchens and lunches at our offices

Job DescriptionAt Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models. We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go-to expert for our most complex modeling challenges. You will be a hands-on-keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production-grade code that elevates the technical bar for the entire team. Your work will be directly applied, as you collaborate closely with customers to develop a range of models—from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end-to-end ML solutions that deliver immense value to our clients.Responsibilities: • Architect and Own Modeling Solutions: You will lead the design and own the end-to-end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long-term performance monitoring., • Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models., • Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team., • Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries., • Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non-technical stakeholders.Requirements:, • 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion., • Deep, expert-level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering., • Mastery of Python and its data science ecosystem., • Expert-level SQL skills, with the ability to write optimized queries against large-scale datasets., • A strategic, product-driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes., • Hands-on experience with the engineering aspects of data science, including proficiency with Docker for containerization and experience building and deploying data pipelines., • Eligible to work within the United States.Preferred Qualifications:, • Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining., • Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow)., • Experience working in marketing analytics, ad-tech, fintech, or for a nonprofit organization.

Job Description Join as a foundational team member shaping the future of AI-driven hardware innovation. We're looking for a seasoned RTL design expert with over 5 years of hands-on experience, including successful tape-outs of multiple chips. Your expertise will drive the creation of advanced RL environments tailored for semiconductor design, empowering AI agents to tackle complex verification and synthesis challenges across general and domain-specific architectures. Key Responsibilities • Architect a comprehensive product lineup for RL-based semiconductor simulations, specifying parameters like complexity levels, educational goals, and coverage for key interfaces (e.g., AXI buses, DMA controllers, or custom units such as tensor processing elements in neural accelerators)., • Develop targeted exercises and benchmarks to guide AI agents in mastering environment-specific skills., • Oversee cross-functional teams responsible for implementing, testing, and refining module-level designs, full SoC integrations, and associated AI training scenarios., • Partner closely with pioneering AI teams from elite research institutions to align learned behaviors with real-world hardware automation needs. Qualifications • 5+ years in hardware design, with a strong emphasis on RTL methodologies. Technical Skills Verilog, RTL Synthesis & Design, Digital Logic, Artificial Intelligence, Machine Learning, Reinforcement Learning

Job Description About the Role Mercor is seeking experienced customer services representatives to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $125 by referring Share the referral link below, and earn $125 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job DescriptionMaking data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.Responsibilities • Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid, • Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities., • Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid., • Debugging, troubleshooting, and reducing operational burden for our Data Platform., • Growing the team via mentorship and leadership, reviewing technical documents and code changes.Qualifications, • 5+ years of software engineering experience, • Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies., • Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration., • Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively., • Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions., • Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.

Job Description About the Role Mercor is seeking experienced order clerks to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $150 by referring Share the referral link below, and earn $150 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About this role We're looking for a founding GTM Lead to build Symbolica's go-to-market motion from the ground up. This is a zero-to-one role for someone who wants to create the playbook, not inherit one. We want someone who thrives in the earliest stages, gets energy from ambiguity, is comfortable being on the road daily meeting enterprise customers, and knows how to turn raw product potential into a repeatable high-value GTM engine. You'll design and run our demos, explore customer problems in real environments, craft our sales strategy, build and manage a pipeline, negotiate and close deals, and translate market signals directly into product direction. You'll be the connective tissue between customers, research, engineering and leadership — shaping how Symbolica enters and scales in the enterprise. 📍 This is an onsite role based in our SF office (345 California St), with frequent customer visits across the Bay Area and beyond. Your focus • Spend time in the field: meet high-value enterprise customers daily, understand their workflows, identify where Symbolica can create immediate impact, and convert deep discovery into opportunities., • Build and run our demos: craft compelling, technically accurate demos that show the power of structured reasoning and multi-agent systems in real customer contexts., • Own our sales strategy: define ICPs, GTM approach, pricing hypothesis, and early repeatable sales patterns., • Build and manage the pipeline: track opportunities, forecast revenue, and maintain operational rigor while moving fast., • Negotiate and close enterprise deals: drive the full sales cycle from first conversation to signature., • Inform product direction: channel customer insight into research and engineering with clarity, prioritization, and urgency., • Experiment aggressively: pilots, workshops, partnerships, YC Demo Day visits, AI community events — whatever moves the needle., • Be the founder's GTM counterpart: a high-agency operator who thrives in a zero-to-one environment.About you, • Former founder or entrepreneurial operator with a strong GTM instinct; you've built things from scratch, not just executed a pre-built playbook., • High-agency, high-ego (in the best sense): confident, ambitious, resilient, and comfortable handling senior enterprise stakeholders., • Exceptional communicator: able to translate deep technical capabilities into clear commercial narratives., • Experience selling or evangelizing technical products (AI, ML infra, developer tools, data platforms, enterprise SaaS)., • Comfortable being on the road daily and working directly with large enterprise customers., • Strong deal instincts: pipeline discipline, negotiation, closing, and maintaining momentum in long enterprise cycles., • Dislike bureaucracy and slow motion; thrive in founder-led environments where speed, clarity, and impact matter more than process. Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

Job Description Role Overview Mercor is partnering with a leading AI research lab on Project Vesuvius, an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality research plans for open-ended machine learning problems. We are seeking Machine Learning Researchers and PhDs to serve as annotators who will assess and provide structured feedback on AI-generated research plans. The goal is to improve how LLMs function as brainstorming partners for machine learning research. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities * Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. * Design and compile ML tasks based on real-world challenges and research competitions. * Draft detailed, executable natural language plans for machine learning workflows. * Implement and validate research plans in Python within a Docker environment. * Assess outputs against structured rubrics, provide usefulness scores, and deliver concise, objective feedback. Ideal Qualifications * 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. * Strong understanding of ML research methodologies, experimental design, and evaluation practices. * Excellent analytical and technical writing skills. * Experience with reproducibility or benchmarking in ML research preferred. * Detail-oriented and able to deliver high-quality, structured feedback independently. Engagement Details * Type: Independent contractor * Mode: Fully remote and asynchronous — work from anywhere, on your own schedule. * Commitment: Maximum 80 hours per week * Project Name: Vesuvius This role is designed for researchers and engineers who value autonomy, precision, and meaningful contribution to frontier AI development. Compensation & Contract Terms * Hourly Pay Rate: Up to $140/hour * Payment: Weekly via Stripe Connect * Contract Type: Independent contractor engagement * Structure: Remote, milestone-based evaluation with flexible scheduling * Application Process * Submit your resume or CV highlighting relevant ML research or engineering experience. * Complete a short AI-based interview and a brief questionnaire about your experience with reproducibility and model benchmarking. * Selected candidates will receive detailed onboarding materials and access to the project environment. About Mercor Mercor is a global talent marketplace connecting exceptional professionals with leading AI labs and research organizations. Our mission is to empower experts to contribute directly to the most influential and technically advanced AI projects worldwide. Mercor is backed by investors including Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines — from research and engineering to law and design — have joined Mercor to build the next generation of artificial intelligence systems.

Job Description Senior Frontend EngineerWe’re looking for a Senior Frontend Engineer to lead the development of modern, high-performance user interfaces for a fast-scaling, AI-enabled SaaS platform. In this role, you’ll take ownership of our UI architecture, contribute to a growing design system, and deliver pixel-perfect experiences across browsers and devices.You’ll work closely with product and design teams to shape intuitive, accessible, and responsive interfaces that elevate the user experience. If you're passionate about clean, scalable UI and excited to build next-gen features powered by AI, we’d love to connect. Responsibilities: • Own the implementation and evolution of UI components, styling architecture, and design tokens, • Lead frontend efforts to enhance accessibility, performance, and responsiveness, • Collaborate with product and design teams to explore and validate interface patterns early in development, • Deliver pixel-perfect implementations that work seamlessly across all modern browsers and screen sizes, • Mentor frontend developers on best practices around CSS architecture, responsive design, and accessibility, • Help expand and maintain the internal design system (e.g., with tools like Figma, Storybook, etc.), • Conduct UX/UI audits and recommend improvements to drive a better user experience Required Skills:, • 5+ years of experience building modern web application UIs, • Deep expertise in HTML5, CSS3/SASS, JavaScript, Typescript, and React, • Strong experience working with and scaling design systems, • Solid understanding of responsive design, cross-browser compatibility, and mobile-first development, • Experience integrating with AI or machine learning APIs, • Skilled in translating designs into code with pixel-level accuracy, • A passion for interaction design, consistency, and building scalable component libraries Compensation:

Job Description Our Client Has raised seventeen million dollars in funding and is building an innovative open source visual AI platform that allows anyone to create generative workflows through an intuitive, code free interface. Their platform uses a visual node based system that enables artists, creators, and technical teams to design complex AI processes with ease. The ecosystem includes a large and growing library of community built tools and extensions, giving users the freedom to customize, experiment, and produce high quality creative work at scale. With strong engineering and AI expertise behind the product, they are shaping the future of creative technology by making powerful AI accessible, flexible, and highly adaptable for a global community of builders. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Talent and Recruitment. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CEOs, and Heads of People & Talent who are building high-performance teams, scaling hiring infrastructure, and elevating organizational capability. We take pride in facilitating conversations that align with your long-term growth trajectory in the evolving world of modern talent acquisition. Location: San Francisco, Work type: Full Time, Onsite Roles & Responsibilities * Own full cycle recruiting across engineering, design, go to market, and general and administrative roles * Build and refine the recruiting engine including interview loops, scorecards, sourcing systems, candidate experience, and applicant tracking system hygiene * Monitor funnel health such as pass through rates, time to hire, and source mix while driving ongoing improvements in both quality and speed * Partner closely with founders to plan headcount, clarify role scopes, uphold hiring standards, and maintain consistent hiring momentum * Source creatively through open source communities, GitHub, Discord, specialized technical networks, and outbound channels * Close high quality candidates by clearly communicating the company mission, growth trajectory, and equity potential * Optionally grow into a Head of Talent role by hiring and mentoring recruiters and owning end to end talent strategy Qualifications * More than 5 years of full cycle technical recruiting experience * Experience hiring across engineering, machine learning and artificial intelligence, design, go to market, and general and administrative teams * Ability to excel in fast moving early stage environments with ambiguity and rapid iteration * Hands on experience building or interest in building a recruiting function from the ground up * Strong system design mindset for recruiting including interview frameworks, process creation, and first principles thinking * Comfort working with data and speaking in terms of pass through rates, time to offer, and conversion metrics * Excellent communication skills and the ability to influence founders and hiring managers with clarity and sound judgment * Genuine interest in AI and modern creative tools * Ability to build trust across different disciplines and shift context between engineering, go to market, and operations hiring * Based in San Francisco or open to joining an in person and high velocity team culture

Job Description Job Title: Sanitation Associate Hours: 7:30am-4pm, Monday- Friday Department: Chocolate Production - 16th Street Report: Chocolate Production Manager Wage: starts at $25/hour About Us Dandelion Chocolate is a bean-to-bar chocolate maker in San Francisco’s Mission District. We make chocolate from only two ingredients, cocoa beans and cane sugar, and travel to origins as often as we can to build good, trusting relationships with the producers who grow and ferment the beans. We’re always searching for flavorful, quality cocoa beans and now we’re seeking a positive, detail-oriented Sanitation Associate who will ensure that the farmer’s and producer’s dedication, care, and attention is reflected in the high quality of our chocolate. We can’t do it without you -- the quality of our chocolate is a direct reflection of our seamless operations consisting of teamwork, learning, and a deep desire to continuously improve. About the Job You’ll be working with a team of very passionate chocolate makers in a dynamic and unique environment. While there are always unexpected surprises (a machine breaks, a shipment of sugar is delayed), everyone goes home knowing that today we did good work and our chocolate continues to get better and better. You’ll spend mornings supporting a clean startup of our tempering line; ensuring molds are clean and ready for making bars. You will work through daily, weekly and monthly sanitation tasks, focused on keeping our environment clean and organized. When we’re caught up on cleaning, you may help make boxes and pack them with ground chocolate, or complete pack out of bars for our customers. Every task you tackle is done to the highest quality. This full-time role starts at $25/hour. About You When working repetitive tasks you easily slip into a zen state of mind. You are eager to help the team, offering assistance where it is needed. You are self-motivated and feel great satisfaction with a spotless workspace where every item is in its place. Throughout the day, you work efficiently and with an eye for the quality standards necessary for the factory space. The team knows they can always rely on you to help them clean up a chocolate spill or give an extra hand when a task takes longer than expected. Above all, you are a team player with a passion for working with a quality product. Responsibilities • Sanitation of food contact surfaces/materials – Follow our quality systems and chemical supplier guidance to properly clean bar molds, plates, hand tools, buckets, bins and equipment to support the Chocolate Production team. Wash 500 bar molds, 500 chip molds, and 500 mini chip molds regularly to ensure they are clean and ready for use in chocolate production. Clean and sanitize over 1000 white plates used for the demolding line, ensuring they are free from any residue or contaminants. Complete digital checklists each day., • Cleaning and organizing – Wash dishes and tools using our industrial dishwasher. Tidy and organize chocolate production areas including cleaning chocolatey areas to ensure a safe, clean, and hazard-free workspace at all times. Sweep floors, dust machines, and wipe windows in designated areas to maintain cleanliness and prevent the buildup of debris., • Maintaining cleaning materials inventory – You keep all cleaning supplies in-stock, communicating low levels with production leadership as required. Assist in maintaining the overall cleanliness of the dish room, including organizing supplies and equipment for efficient workflow. Take care of both the small dish area and the bucket washer, ensuring that dishes and utensils are thoroughly cleaned and sanitized., • Safety-minded – We work with heavy machinery each day and our team members depend upon each other to maintain strict safety standards. Assist in the removal of chocolate husk and disposal of garbage to keep work areas clean and free from obstructions., • Team work – You have a positive attitude, desire to help the team meet its goals, and people want to work with you again (and again and again.), • Availability – Available full-time, 7:30am-4pm, Monday- Friday., • Kitchen or factory experience – Previous experience working in a kitchen is a huge plus, especially the habits of washing hands, labeling and dating finished products, and working thoughtfully around others. Knowledge of GMPs and food safety is helpful. How to Apply Dandelion is growing and we are invested in employees who take ownership over their role and are interested in contributing in a bigger way with us. You will stand out from the crowd if your resume is accompanied by a cover letter with a few sentences about your most memorable food experience. We look forward to hearing from you Powered by JazzHR AYGi1ZLxqx

Job Description About the Role Mercor is seeking experienced Private Detectives and Investigators to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. We are seeking an Autonomy Sensor Engineer to strengthen the sensing foundation of our autonomy stack. In this role, you will work across cameras, LiDAR, radar, and other onboard sensors to improve data quality, characterization, and processing pipelines. You’ll focus primarily on sensor algorithms and processing, while also supporting sensor driver development when needed. Your work will directly enhance the robustness, consistency, and capability of our perception systems. Responsibilities * Develop and improve sensor processing pipelines for camera and 3D sensors. * Build and evaluate algorithms for sensor quality, resiliency, and noise handling. * Characterize sensor performance, including timing, latency, and synchronization across modalities and build pipelines for monitoring across the fleet * Experiment with and integrate new sensors into the autonomy platform. * Collaborate with perception, autonomy, and hardware teams to diagnose issues and improve multi-sensor performance along with sensor selection * Support sensor driver bring-up, configuration, and upgrades as required for current and next generation platforms * Own sensor calibration and health pipeline across the entire fleet of robots Qualifications * Strong experience in sensor processing, computer vision, robotics, or related fields. * Proficiency in C++ and Python for real-time or robotics applications. * Hands-on experience with camera, LiDAR, radar, or similar sensor data. * Understanding of multi-sensor synchronization, calibration, and characterization. * Experience with ROS/ROS2 or similar middleware. What Makes You Stank Out * Experience experimenting with or benchmarking new sensor hardware. * Familiarity with sensor drivers, hardware APIs, or embedded systems. * Background in perception, SLAM, or sensor fusion. * Experience with CUDA highly desired. • Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. While we prefer candidates located in the Bay Area, we are also open to qualified talent working remotely across US and Canada. U.S. – all locations: $155k - $195k USD Canada- all locations: $130k - $160k CAD Compensation Range: $190K - $235K

Job Description About the Role Mercor is seeking experienced Buying and Purchasing Agents to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $125 by referring Share the referral link below, and earn $125 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job DescriptionThe Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment., • Develop custom data models and algorithms to apply to data sets., • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes., • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows., • Develop analytic data sets and use statistical software to analyze data sets as requested., • Use third party software tools in the development of queries and visualizations., • Coordinate with different functional teams to implement models and monitor outcomes.Requirements, • Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience., • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines., • 7+ years of experience in data analysis software, with data science experience preferred., • 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling., • Track record of applying AI or ML models to solve practical, real-world problems—ideally in healthcare or similar complex domains., • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc., • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning., • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc., • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows., • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering., • Strong problem-solving skills with an emphasis on data analytics., • Excellent written and verbal communication skills for coordinating across teams.Nice to Have, • Experience in the healthcare setting preferred., • Experience with Epic EMR data preferred, but not required.

Job DescriptionAs a Senior Full Stack Software Engineer at Windfall, you’ll be making things work from start to finish. When we say “full stack”, we really mean it. You’ll be connecting services, creating API’s, and building out UI’s across multiple products in a fast-paced, collaborative, and highly-iterative environment. At our offices in San Francisco, you’ll be working in close proximity to senior leadership that can provide you with a wealth of technical, product, and business knowledge to help you grow your career. As a member of our Application Team, you’ll be bringing to life innovative, AI-driven features in our customer-facing application as well as complex tooling for our internal teams, including Customer Success, Business Development, and Engineering. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.What you will do: • Improve, extend, and tie together existing backend services to support our internal-facing applications, • Rapidly prototype new tools and features that will make an immediate impact on the business, • Contribute to a highly collaborative, feedback-driven, fast-paced engineering team, • Develop broad ownership over our internal applications, including setting coding patterns, best practices, and guidelines, • Collaborate closely with our product team to plan and execute projects at rapid speedSome technologies you will use:, • Backend: Java, Kotlin, • Frontend: JavaScript/Typescript, React, • Cloud platform - GCP, • Data warehouse & databases - Postgres, BigQuery, • Kubernetes & DockerRequirements:, • 6+ years of professional experience designing, building, and maintaining web applications, • Willingness to work a hybrid onsite schedule in our San Francisco or Denver office, • Experience developing server-side using an object-oriented approach, building API’s, and working with a modern frontend framework., • Experience using transactional databases, • Proficiency with at least one major cloud provider is essential, • Ability to move quickly in a startup environment

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job Description Join our mission to provide governments with exceptional experiences so they can do the same for their communities! What do we do?💥 We empower governments to deliver exceptional citizen experiences. Check out our 'About Us' page for a deep dive into our product and what makes us exceptional. How will you help us make an impact? 👩️‍💻👨️‍💻 The Senior MLOps Engineer will design, build, and scale the systems that power CivCheck and Clariti's AI capabilities. As the first MLOps Engineer, you will lead the development of robust ML infrastructure, ensuring that models move efficiently from research to production with reliability, observability, and performance at scale.This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and cloud infrastructure, and who's motivated to enable teams to deliver high-impact ML systems efficiently and safely. As a Senior MLOps Engineer at Clariti, you'll get to : • Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models and agentic AI workflows, • Build and optimize infrastructure for distributed training and model serving across GPU and cloud environments., • Develop tools for data creation, model versioning, experiment & performance tracking, and automated retraining., • Collaborate with AI researchers and ML engineers to productionize POCs and ensure model reproducibility and scalability., • Implement CI/CD best practices for ML systems, including continuous integration, automated testing, and deployment workflows., • Monitor and manage model health, performance, drift, and data quality in production., • Partner with Engineering teams to streamline infrastructure provisioning and data access., • Drive cost optimization and performance tuning for large-scale model training., • 6–10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure., • Solid experience working with Python, C, C++, Bash, etc., • Proven experience deploying and managing ML models in production., • Proficiency with Docker, and Kubernetes for scalable ML system design., • Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration., • Solid understanding of data versioning, model reproducibility, and monitoring strategies., • Experience training models from scratch, including defining architectures, curating & cleaning datasets, tuning training parameters, and bringing models from research to monitored production., • Exposure to model optimization techniques (quantization, distillation, TensorRT, ONNX)., • Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)., • Background in distributed systems or high-performance computing. We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! * 💰 The base salary range for this role is expected to be between $190,000-230,000 based on the candidate's skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰 If you have questions about compensation as we move through the process, we're happy to discuss further. *Benefits depend on employment type (full-time, part-time, contract, etc). Things to Note 📝 Background checks - Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation. Travel- Although we operate as a remote company, all roles are expected to participate in occasional travel for in-person company-wide or departmental meetings, typically 1-2 times per year. Additional travel requirements specific to the role, if any, will be outlined in the job description. We're committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously in a direct but respectful way; and are customer-focused by keeping the customer at the heart of decision-making. It's the diversity of our team that helps us make better decisions, by leveraging the diversity in thought & experience across to create impactful solutions as we explore new paths & challenges as we grow. We're working to create a workplace and team that is as diverse as the communities we serve. We welcome and encourage candidates of all backgrounds to apply. Questions? We are here to help If you require accommodations in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in our hiring process for any reason, please direct your questions to and we'll be happy to support you.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers in iOS to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote)About the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Swift or Objective-C), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Exposure to React Native, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description About Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. We're building the evaluation and safety infrastructure to validate agent performance at scale—simulation frameworks, outcome correlation, and systematic bias detection. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Research Scientist at Amigo, you'll lead our research agenda and publication strategy. You'll design studies that validate AI agent performance, develop evaluation frameworks for clinical safety, and publish findings that set a new standard for healthcare AI research. This is a senior role focused on building Amigo's research credibility through rigorous, reproducible work. We have an opportunity to lead the field—most healthcare AI research lacks publicly available datasets and rigorous methodology. You'll change that. What you'll do * Lead research on AI agent evaluation, simulation fidelity, and safety boundary testing * Publish preprints and peer-reviewed papers at top venues * Design studies correlating agent interactions with clinical outcomes * Develop methods for detecting demographic biases in agent responses * Coordinate research collaborations with academic medical institutions * Ensure datasets are publicly available and methodologies are reproducible * Manage IRB processes and peer review submissions * Present findings at conferences and represent Amigo in the research community What we're looking for * PhD in machine learning, statistics, computational healthcare, or related field from a top program * Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CHIL, etc.) * Experience with evaluation frameworks, benchmarking, or AI safety research * Track record of rigorous, reproducible research with public datasets * Ability to translate research findings into production improvements * Excellent written communication—clear, precise scientific writing * Experience coordinating with academic institutions Nice to have * Research experience at leading AI labs (industry or academic) * Publications on AI evaluation, safety, fairness, or healthcare ML * Experience with clinical study design or IRB processes * Background in simulation-based evaluation or synthetic data * Track record of successful academic-industry collaborations Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to architect and build the foundational data platform infrastructure that powers Crusoe's AI and cloud operations. You'll go beyond building pipelines—you'll design and implement the systems that make those pipelines possible, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: * Architect Data Platform Infrastructure: Design and build scalable, reliable data infrastructure systems that serve as the foundation for analytics, machine learning, and operational intelligence across Crusoe. * Build High-Performance Data Systems: Develop robust data processing frameworks and storage solutions optimized for the unique demands of AI infrastructure and cloud operations. * Champion Data Quality & Reliability: Implement data validation, monitoring, and observability systems that ensure data integrity and platform reliability at scale. * Collaborate Across Engineering Teams: Partner with software engineers, data scientists, and operations teams to understand requirements and deliver infrastructure that accelerates their work. * Drive Technical Excellence: Establish best practices for data engineering, contribute to architectural decisions, and mentor team members as the team grows. What You'll Bring to the Team: * Strong Software Engineering Foundation: Demonstrate proficiency in Python and at least one systems-level language (Go preferred; Java, C, or C++ also valued), with the ability to write production-quality, maintainable code. * Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks. * Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably. * SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design. * Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation. * Ownership & Autonomy: As an early hire on the data engineering team, you'll be expected to drive projects from conception to production with minimal supervision. * Collaboration Skills: Communicate effectively with technical and non-technical stakeholders to translate requirements into robust solutions. Bonus Points: * Experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage). * Experience with Apache Beam. * Background in building infrastructure for AI/ML workloads or cloud computing platforms. * Experience on a growing or early-stage data team, contributing to foundational development. * Familiarity with data orchestration tools (e.g., Airflow, Dagster, Prefect). * Experience with real-time data processing and streaming architectures. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month 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 DescriptionAs a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities • Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis., • Optimize data infrastructure and processes to ensure optimal performance and scalability., • Develop and maintain data documentation and data lineage., • Stay current with emerging technologies and industry trends related to data engineering.Requirements, • 5+ years of experience in data engineering., • Extensive experience in the design, build, and maintenance of data ETL pipelines., • Extensive knowledge of coding in Python or Scala with a focus on data processing., • Experience using Apache Spark (PySpark or Scala)., • Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.)., • Experience with data and entity relationship modeling to support data warehouses and analytics solutions., • Deep understanding of relational and non-relational databases (SQL/NOSQL)., • Comfortable working with unstructured and semi-structured data (Web scraping)., • Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean)., • Basic data privacy and security principles., • Interest and/or experience in AI/ML applications, including support for model development or deployment workflows., • Proactive mindset around exploring emerging technologies in AI and data science to drive innovation.Nice to Have, • Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC., • Experience with Delta Lake and/or Databricks., • Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation., • Experience with machine learning workflows and data requirements for use with ML frameworks., • Experience validating data quality, preferably with test automation.

Job Description Who We Are: At Formic, we're on a mission to revolutionize American manufacturing and create more abundance in the world. We believe in continuing the American legacy of innovation by making automation accessible to all manufacturers and increasing their factory productivity by 10x. Built upon deep expertise in robotics and manufacturing, our unique full service automation solutions combine the best automation technology, software, and analysis tools for manufacturers with best in class uptime, support, and maintenance services. We are creating a new era of supercharged efficiency and competitiveness for US manufacturers.As the world faces growing pressure from tariffs, rising costs, and labor shortages, Formic is uniquely positioned as the industry leading solution to overcome these challenges. Fueled by our vision for a re-industrialized domestic supply chain, everything we do is aimed at growing "Made in America" products. And we're growing fast - achieving 7x growth in production hours YoY. Supporting us in our mission, with investments thus far totaling over $60 million, are backers including Lux Capital, Initialized Capital, Blackhorn Ventures, Mitsubishi HC Capital NA, and CEOs and founders of multiple Fortune 50 companies. Formic Cortex is an initiative to help Formic scale not just technology, but judgment, execution, and operational clarity as the company grows. The unifying goal is leverage: making it easier for teams to make good decisions and execute reliably as Formic scales. This role is ideal for someone energized by ambiguity, motivated by building something new, and excited by the opportunity to influence how an organization operates at its core. As Product Lead, Operational Intelligence (Formic Cortex), you will focus on how Formic works as a system - how decisions are made, how information flows across teams, and how complex operational work becomes repeatable at scale. Rather than owning a fixed product surface or roadmap, you will identify where complexity, ambiguity, or fragmentation slow the organization down and design mechanisms that improve consistency, leverage, and speed over time. This is a first-of-its-kind role at Formic. The Cortex team does not yet exist, and neither does a predefined blueprint for what it becomes - you will help shape both. You'll work across deployment, solutions, production optimization, and adjacent teams to surface patterns that aren't visible from within any single function, and translate those insights into durable ways of working - sometimes through tools or automation, often through clearer structure, decision frameworks, or redesigned handoffs. Over time, the systems, mechanisms, and tooling that emerge from Formic Cortex are expected to coalesce into a cohesive internal product - the operational backbone of the company. As Cortex matures, it will increasingly function as Formic's operating system: the place where operational knowledge lives, decisions are supported, and execution is coordinated across the organization. Early on, however, the focus is on discovery, design, and leverage, ensuring that what ultimately becomes productized is grounded in how the company actually works. In this role you will: • Observe how work actually happens across deployment, solutions, production optimization, and adjacent teams, and surface patterns that limit speed, clarity, or consistency., • Translate complex, experience-driven decision-making into clear structures, frameworks, and mechanisms that scale beyond individuals., • Identify points where information breaks down, handoffs degrade, or judgment is overly concentrated, and redesign those flows to improve reliability., • Introduce systems - process, tooling, automation, or decision frameworks as appropriate - that reduce friction and increase operational leverage., • Partner closely with engineering to shape and deliver internal capabilities when software or automation is the right solution., • Establish feedback loops that make it easier to learn from deployments, maintenance, and operational outcomes over time., • Drive initiatives from discovery through execution in environments with limited precedent or definition., • Align stakeholders across functions around priorities, tradeoffs, and shared understanding of how work should operate., • Evaluate new technologies, methods, or approaches and assess where they meaningfully improve how the organization functions., • 4+ years of experience in product, operations, systems design, technical program management, robotics, automation, or similarly cross-functional roles., • Demonstrated ability to work in ambiguous environments where problems must be discovered, framed, and shaped before they can be solved., • Strong systems thinking skills, with the ability to reason about organizations, workflows, and decision-making as interconnected systems., • Experience working closely with engineers, operators, or technical subject-matter experts to turn real-world complexity into scalable solutions., • Comfort moving between observation, synthesis, and execution without a predefined roadmap., • Strong communication skills and the ability to build alignment across teams with different incentives, languages, and constraints., • A track record of owning outcomes, not just deliverables., • Willingness to spend time close to the work - whether in the field, on the factory floor, or embedded with operational teams - when insight requires it., • 4+ years of experience in product, operations, systems design, technical program management, robotics, automation, or similarly cross-functional roles., • Demonstrated ability to work in ambiguous environments where problems must be discovered, framed, and shaped before they can be solved., • Strong systems thinking skills, with the ability to reason about organizations, workflows, and decision-making as interconnected systems., • Experience working closely with engineers, operators, or technical subject-matter experts to turn real-world complexity into scalable solutions., • Comfort moving between observation, synthesis, and execution without a predefined roadmap., • Strong communication skills and the ability to build alignment across teams with different incentives, languages, and constraints., • A track record of owning outcomes, not just deliverables., • Hands-on experience deploying robotics or automation systems in real production or field environments., • Experience building internal tools or platforms that support technicians, field engineers, or operational teams., • Background in controls, industrial robotics, PLCs, or hardware-in-the-loop testing., • Experience applying AI or machine learning to physical-world problems such as predictive maintenance or anomaly detection., • Familiarity with simulation frameworks or digital-twin environments used for validation or commissioning. #LI-MB1 Our Total Rewards At Formic, we believe you perform your best when you're supported in caring for yourself and your loved ones. That's why we've thoughtfully designed a comprehensive benefits and perks package for our full-time, U.S.-based team members, including: * Equity in Formic: Own a meaningful stake in a fast-growing Series A startup, backed by leading global investors * Comprehensive Healthcare Coverage: 99% covered Medical, Dental, and Vision insurance plans, with 75% coverage for dependents, provided by Blue Cross Blue Shield and Guardian * Additional Fully Covered Insurance Benefits: FSA & DCFSA, Life Insurance, Short-Term Disability, and Long-Term Disability through Guardian, all 100% employer-paid * Employee Assistance Program (EAP): Fully funded by Formic and provided via Guardian, offering support when you need it most * Paid Parental Leave: Generous parental leave to support our employees and their growing families * Company-sponsored 401(k): Invest in your future with our company-backed retirement savings plan * Home Office Stipend: A one-time allowance for fully remote employees to set up your ideal at-home or on the road work environment * Monthly Cell-Phone Reimbursement: Monthly stipend toward phone and internet expenses * Flexible Time-Off: Take the time you need, when you need it, supported by our flexible PTO policy * Paid Company Holidays: Celebrate important dates with paid time off Compensation Philosophy Formic's compensation packages - including salaries and equity - are thoughtfully benchmarked against peer companies at a similar growth stage. Equity represents a critical part of our mutual investment: when Formic succeeds, so do you. Final compensation packages are carefully customized based on candidate preference for cash and equity balance, experience, geographic location, and market considerations. Our goal is to attract and reward top talent who will significantly impact our organization. We're open to meaningful discussions about compensation structure to secure exceptional team members. The anticipated base pay range for this position is detailed below. Base Salary Range:$135,000—$175,000 USD What we look for: We're building a company from the ground up, so every single person we hire has a massive impact on our team, culture, and ability to accomplish our mission. While each individual brings their own unique skills and perspectives to Formic, we look for people who share our vision and act in alignment with our Operating Principles. If this sounds like you, Formic could be the place for you! • Fearless Optimism: You share our ambitious vision of what we can accomplish. You're aware of the challenges we will face as a startup doing new things in an old space, but you're energized by the incredible opportunity we have to drive change for our customers, and for the manufacturing industry at large., • Factories First: You have a strong customer focus, no matter who your customer is. You seek to make things easier and better for our customers, even if it makes your job a little harder., • Today, Not Tomorrow: There are always plenty of projects to tackle in a startup, but you prioritize, take accountability for work, and have a bias toward action., • Be Right Often: You don't do things just because that's how they've always been done. You keep looking for ways to improve, seek out feedback along the way, and back your decisions up with data., • Made of Rubber: Just like rubber, when you fall you bounce back up. You know there's going to be a lot of challenge and change in our work ahead but you are adaptable, resilient, and ready to thrive through it all. Formic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, or any other basis protected by law. All employment decisions are based on a person's merit, business needs, and role requirements. If you require further accommodations or have questions regarding accessibility of our roles, please reach out to . AI Use At Formic, fairness and transparency are at the heart of our hiring process. We use AI-powered tools in some interviews to help our teams evaluate candidate responses, but all final hiring decisions are made by humans. You can learn more about how AI is used in our recruitment process by reviewing our AI Hiring Disclosure linked here.

Job Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the role You will own Symbolica's FP&A engine and become the internal source of truth for how the business is performing and where it is heading. This is a hands-on, analytical role focused on building and running our operating model, forecasting SaaS and usage based throughput, and supporting decisions on hiring, spend, pricing, and go-to-market. You will work closely with executives to create a tight planning cadence, clean metrics, and board-ready narratives that turn ambiguity into crisp choices. 📍 This is an onsite role based in our SF office (345 California St). Your focus • Build and maintain the operating model: SaaS bookings and revenue, usage based GMV style volume, churn and retention, pipeline conversion, and runway with scenario planning., • Run the planning rhythm: annual plan, quarterly reforecast, and monthly performance reviews with clear variance analysis and action-oriented outputs., • Own KPI definitions and reporting: establish consistent metrics, partner with product and data to connect usage and adoption to financial results, and publish dashboards and updates., • Support GTM analytics: pricing and packaging analysis, unit economics, sales capacity planning, quota and pipeline health, and experiment measurement., • 4 to 9 years in FP&A, strategic finance, or analytics at a high-growth tech company, with meaningful ownership of forecasts and planning. VC/PE/IB background acceptable., • Strong modeling skills and good taste in assumptions: driver-based forecasting, scenario work, and the ability to explain results clearly to non-finance leaders., • Solid understanding of SaaS and consumption dynamics: ARR and revenue timing, cohorts, churn and retention, and margin drivers, plus comfort forecasting throughput., • High ownership and low ego: you move fast, stay precise, and improve systems and process without creating bureaucracy. Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

Job DescriptionWe are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems.Key Responsibilities: • Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion., • Capture data in various real-world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios., • Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking., • Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training., • Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models., • Operate drones in both manual and autonomous modes, supporting AI-driven flight operations where drones rely on onboard algorithms for navigation and decision-making., • Adhere to Federal Aviation Administration (FAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions., • Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability.Qualifications:, • Commercial drone pilot certification (FAA Part 107 or equivalent), with additional certifications in safety or advanced drone technologies considered a plus., • Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications., • Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors., • Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing., • Strong understanding of how drone-collected data is used for AI training, including its role in training AI for perception, navigation, and decision-making., • Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools., • Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems., • Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications., • Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s newest fraud detection products, leveraging the breadth of Plaid’s network data to stop fraud before it occurs. We manage the full lifecycle of these systems—from feature pipeline development and model training to deployment, serving, and monitoring—ensuring our solutions scale reliably as we grow to support hundreds of customers. As a Data Scientist on Plaid’s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You’ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You’ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products. Responsibilities • Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements., • Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making., • Analyze complex datasets to uncover clear, actionable insights that shape product direction., • Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.Qualifications, • 3–5 years of total experience, including at least 2–3 years working deeply with product analytics, experimentation, or data-driven products., • Strong proficiency in SQL and Python., • Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies., • Skilled in designing, building, and maintaining dashboards and core product performance metrics., • Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems., • Excellent communicator with strong stakeholder-management skills across diverse teams., • Background in fraud or risk domains — Nice to have., • Familiarity with data-insights products and a solid understanding of model-performance metrics — Nice to have.

Job Description About the Role Mercor is seeking experienced First-Line Supervisors of Production and Operating Workers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description About the Role Mercor is seeking experienced Property, Real Estate, and Community Association Managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 7,000 companies and law firms worldwide. Our software empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan and the United States, we are backed by leading investors with over $180M raised. We bring together large language models (LLMs), a proprietary Legal Document Graph that organizes complex legal information, and intelligent AI-driven workflows. In partnership with OpenAI, we are redefining the legal AI space and delivering innovative solutions for the future of legal work Role Overview: We are looking for a Senior AI Engineer to join our team. You will be at the forefront of designing, developing, and deploying agentic LLM workflows that leverage cutting-edge AI techniques to streamline contract workflows, with a strong focus on the legal domain. This is a unique opportunity to apply your expertise in AI and software engineering to solve complex, real-world challenges in a high-impact setting. Responsibilities: • Design and implement robust agentic LLM workflows for production., • Integrate AI solutions with existing SaaS platforms, internal APIs, and legal workflow systems., • Evaluate third-party models, frameworks, and services to determine their suitability and integration potential., • Collaborate with cross-functional teams to gather requirements, understand user needs, and deliver high-impact agent solutions., • Build tooling and observability to monitor, test, and evaluate AI agent performance., • Conduct code reviews and maintain best practices in documentation and version control., • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • 3+ years of experience in developing agent products or similar AI applications., • Strong proficiency in one programming language (e.g., Python)., • Strong understanding of LLMs, retrieval (RAG), and agent orchestration., • Experience with AI frameworks and agent development tools (e.g., LangGraph, CrewAI, MCP)., • Solid problem-solving skills and meticulous attention to detail., • Effective communication and collaboration skills in a global environment., • PhD. in a relevant technical field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Knowledge of NLP techniques, RAG systems, and prompt engineering., • Contributions to open-source projects or publications in AI research., • Experience deploying and maintaining AI models in production environments. Join our collaborative, high-performance culture driven by curiosity and continuous improvement. You'll work alongside passionate professionals in an environment that fosters innovation and creative problem-solving. Together, we tackle complex challenges in legal automation, leveraging AI to transform the industry. Miscellaneous: • Full-time position, • This role is open to remote candidates, • Flexible work arrangements: for applicants in the Bay Area we offer a hybrid work model with an office in the heart of San Francisco. For others, we embrace a remote working environment, • Competitive compensation and stock options, • Robust benefits: comprehensive health, dental, and vision insurance, generous PTO, plus a 401K plan

Job Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the role You'll join the founding team as the first Talent Sourcer and take full ownership of the search for deeply specialised technical talent in the AI field – from ML Engineers to Applied Researchers. This is a rare opportunity to directly shape the direction of the company by helping us hire the people who will build our core technology and the future of Symbolica. You'll partner with Talent Lead to design and execute searches that go far beyond traditional sourcing playbooks. We're looking for someone who lives and breathes sourcing, thrives in ambiguity and automation, and brings both creativity and precision to the search for world-class talent. 📍 This is an onsite role based in our SF office (345 California St). Your focus • Own end-to-end sourcing strategy for highly specialised AI and technical roles, • Build and nurture long-term pipelines of world-class researchers, engineers, and hybrid profiles, • Identify and engage talent across unconventional channels and niche talent communities (from conferences to local meet-ups), • Design and implement sourcing ops, tools, AI automation, and processes from the ground up in a zero-to-one environment, • Use advanced sourcing techniques and AI tooling to surface hard-to-find candidates, • Partner closely with hiring managers to deeply understand role requirements and ideal profiles, • 3+ years of talent sourcing experience, including at least 1 year focused on sourcing for AI/ML and other highly technical roles in deep tech domains, • Experience working in fast-paced, ambiguous, early-stage environments, • Proven success hiring from non-traditional and creative sourcing channels, • Deep understanding of sourcing tools, AI-powered recruitment platforms, and automation, • Excellent written communication and ability to pitch a compelling narrative to top talent Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

Job Description About the Role Mercor is seeking experienced sales managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests regarding your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective domain * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: 30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods . About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $250 by referring Share the referral link below, and earn $250 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role As a Staff Site Reliability Engineer, you’ll lead reliability engineering across Quizlet’s platform — designing automation, scaling systems, and ensuring that our infrastructure can support rapid innovation in AI-powered learning. You’ll drive the architectural direction for resilience, observability, and performance while mentoring other engineers and influencing platform-wide standards. This is an onsite position in our San Francisco office, with a minimum of three days per week onsite: Monday, Wednesday, and Thursday. In this role, you will • Lead the design and implementation of self-healing, auto-scaling infrastructure across our Kubernetes and Istio environments., • Architect and implement CI/CD reliability improvements that reduce MTTR and deployment risk., • Partner with teams to define and enforce SLOs and operational excellence standards., • Build systems and tools that enable proactive reliability and capacity management., • Drive incident analysis and postmortems using Datadog and Jeli to identify architectural improvements., • Mentor engineers and establish best practices for automation, observability, and scaling.What you bring to the table, • 8+ years of experience in SRE, systems, or infrastructure engineering., • Expertise in Kubernetes (GKE), Terraform, and CI/CD pipelines (ArgoCD, GitHub Actions, CircleCI)., • Deep programming skills in Go and/or Python for infrastructure automation., • Strong experience in Datadog, system monitoring, and distributed tracing., • Familiarity with GCP services, Linux internals, and large-scale networking., • Proven experience leading cross-team reliability initiatives and architectural improvements.Compensation, Benefits & Perks, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps., • Total compensation for this role is market competitive, including a starting base salary of $220,700 – $268,100, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT 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 DescriptionAs a Principal Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities • Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis., • Optimize data infrastructure and processes to ensure optimal performance and scalability., • Develop and maintain data documentation and data lineage., • Stay current with emerging technologies and industry trends related to data engineering.Requirements, • 7+ years of experience in data engineering., • Extensive experience in the design, build, and maintenance of data ETL pipelines., • Extensive knowledge of coding in Python or Scala with a focus on data processing., • Experience using Apache Spark (PySpark or Scala)., • Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.)., • Experience with data and entity relationship modeling to support data warehouses and analytics solutions., • Deep understanding of relational and non-relational databases (SQL/NOSQL)., • Comfortable working with unstructured and semi-structured data (Web scraping)., • Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean)., • Basic data privacy and security principles., • Interest and/or experience in AI/ML applications, including support for model development or deployment workflows., • Proactive mindset around exploring emerging technologies in AI and data science to drive innovation.Nice to Have, • Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC., • Experience with Delta Lake and/or Databricks., • Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation., • Experience with machine learning workflows and data requirements for use with ML frameworks., • Experience validating data quality, preferably with test automation.

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As the Senior Robotics QA Automation Engineer, you will assume technical leadership in the design and implementation of automated test frameworks. These frameworks will be critical in validating the performance, accuracy, and safety of our robotics systems. This role necessitates operating at the intersection of robotics, perception, and AI, requiring the development of advanced testing solutions to ensure adherence to the demanding standards of commercial food automation operations.Test Automation Framework Development • Architect and construct scalable automated test frameworks for robotic systems, encompassing the integration of hardware, software, and conveyor systems., • Develop specialized testing frameworks tailored to food automation operations, including validation of picking and placement accuracy., • Establish simulation environments to accurately replicate real-world production conditions and variations in packaging., • Implement HMI interface automation to ensure thorough validation of operator interactions with packaging systems.Test Strategy Formulation, • Formulate comprehensive test strategies that address functional, performance, safety, and reliability aspects of robotic food automation systems., • Define test coverage metrics and quality gates to be incorporated into continuous deployment pipelines., • Establish automated regression test suites to validate system performance across a diverse range of product types and packaging scenarios., • Develop methodologies for validating conveyor-robot synchronization and adherence to timing constraints.Technical Execution, • Develop and execute automated tests for robotic movements, vision system accuracy, and packaging precision., • Construct automated tests for scenarios involving multi-robot coordination and conveyor handoffs., • Implement data analysis tools to identify patterns in system performance and failure conditions.Collaboration and Mentorship, • Mentor and provide guidance to junior QA engineers in automation best practices., • Engage in collaborative efforts with robotics engineers to gain a comprehensive understanding of system architecture and to define testing requirements., • Collaborate with product teams to translate customer requirements into detailed test scenarios., • Partner with the platform team to integrate testing into CI/CD pipelines for both software and firmware components.Technical Expertise, • Minimum of seven years of experience in QA automation engineering, with at least three years specifically focused on robotics or automation systems., • Proficiency in Python programming, with proven experience in utilizing test automation frameworks such as Pytest, Robot Framework, or similar., • Experience with robot simulation tools (ROS, Gazebo) and a solid understanding of robotics control systems., • Competence in utilizing CI/CD tools (Jenkins, GitLab, GitHub Actions) and integrating automated tests into deployment pipelines., • Demonstrated experience testing systems involving conveyor integrations and industrial control interfaces.Testing Proficiencies, • Comprehensive understanding of test automation principles, design patterns, and best practices., • Experience in designing test frameworks from initiation for complex systems., • Knowledge of performance testing methodologies and associated tools., • Understanding of testing principles for safety-critical systems., • Experience with hardware-in-the-loop testing methodologies.Desired Qualifications, • Experience with computer vision & machine learning testing, • Experience with industrial automation or manufacturing systems., • Familiarity with PLC testing and integration validation., • Experience in testing multi-robot coordination.

Job Description About the Role Mercor is seeking experienced medical and health services managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests regarding your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective domain * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: 30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods . About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $250 by referring Share the referral link below, and earn $250 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. We are seeking a highly experienced and independent Senior Director of Engineering to lead our Measurement and Audience division. This pivotal role involves overseeing the engineering teams responsible for our core measurement and advertising products, which are built upon Samba TV's extensive television viewership data and rich web visitation data. You will be at the forefront of integrating these powerful datasets to deliver innovative solutions for measuring and optimizing our customers' campaigns. This is a leadership role for a growing team, and you will be expected to provide technical guidance and mentorship to your teams, and to own the technical roadmap for your organization.WHAT YOU'LL DO • Lead, mentor, and grow a team of high-performing engineering managers and individual contributors, fostering a culture of innovation, accountability, and excellence., • Define and execute the technical vision and roadmap for the Measurement and Audience product suites, ensuring an integrated experience for Samba’s users and aligning with product and business objectives to deliver best-in-class measurement solutions., • Own the end-to-end software development lifecycle for your teams, from strategic planning and prioritization to execution, deployment, and maintenance, establishing and enforcing best practices along the way., • Drive the architectural evolution of Samba’s measurement and audience platforms, including the successful integration of new data sources and technology acquired by Samba., • Partner closely with Product Management, Data Science, and other cross-functional teams to translate product requirements into scalable, robust, and reliable technical designs and systems., • Serve as a key technical voice in discussions with senior leadership and non-technical stakeholders, effectively communicating complex technical concepts, risks, and opportunities., • Manage team resources, project timelines, and deliverables to ensure predictable and high-quality outcomes.WHO YOU ARE, • Extensive hands-on experience with TV and/or digital ad measurement, including the application of panel weighting strategies to transform raw survey observations into representative audience projections., • Familiarity with digital ad targeting technology and methodologies., • Based in SF, with the ability to work in a hybrid model (3 days/week in the office) and maintain a flexible schedule to ensure overlap with Europe-based teams., • 8-10+ years of overall software development experience, with a proven track record of designing and delivering complex, large-scale systems., • At least 5 years of engineering management experience, with a proven track record of developing and managing other managers as well as ICs., • Demonstrated experience building and maintaining pipelines with large-scale ETL systems and data processing frameworks–preferably Spark or Databricks., • Solid experience with API design, development, and maintenance, and a strong understanding of web application architecture., • Proficiency with cloud computing environments, preferably AWS and Google Cloud., • The proven ability to quickly learn new technologies and support teams using them.Desired Attributes, • Exceptional Leadership: An ability to inspire and develop technical talent, providing effective feedback and coaching to grow managers and leaders within your teams., • Strategic Thinker: The capacity to generate and execute a long-term technical roadmap, making informed decisions about priority, scope, and trade-offs., • Outstanding Communicator: Excellent verbal and written communication skills, with the ability to articulate complex technical information clearly and concisely to both technical and non-technical audiences., • Data-Driven Mindset: Familiarity with foundational measurement concepts such as identity resolution, experiment design, and survey panel weighting; and familiarity with machine learning and AI concepts, such as lookalike modeling techniques and vector embeddings, and an understanding of their practical applications.

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. We’ve brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role * Develop algorithms for structural and functional ultrasound-based imaging of the brain * Contribute to the design of custom hardware optimized for imaging * Perform validation of in-silico ultrasound imaging methods with custom hardware in physical models and in vivo in both rodents and humans * Develop aberration correction techniques informed by ultrasound-based imaging About you We are looking for research scientists of multiple levels, regardless of your career level, you should have: * PhD or postdoc in physics, bioengineering, medical imaging, or similar engineering discipline * Expertise in ultrasound physics and metrology * Exceptional proficiency in full-waveform inversion imaging, functional transcranial doppler imaging, or functional ultrasound imaging * Machine learning experience is preferred * Demonstrated history of exceptional technical contribution

Job DescriptionAbout Becoming Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. Most existing models work in short-horizon or static regimes. They fail when systems become long-horizon, nonlinear, and context-dependent — exactly where development, biology, and many real-world systems live. We are building a new modeling primitive for reasoning about complex dynamics over time, starting with developmental biology and extending to other domains where prediction fundamentally breaks. The Role We are hiring a Research Scientist to help verify, validate, and shape a new modeling primitive designed for complex, time-evolving systems. This role is not about incremental model improvements or benchmark chasing. Your responsibility is to rigorously evaluate whether this primitive works, where it works, where it fails, and why. You will help define its scope, limits, and evolution through careful analysis, experimentation, and comparison to existing approaches. Your work will directly influence how the platform develops and how broadly it can be applied. What You’ll Own • Validation of a new AI modeling primitive for long-horizon dynamical systems, • Design of experiments and benchmarks that test stability, generalization, and predictive fidelity over time, • Comparative evaluation against existing modeling approaches, • Identification of failure modes, assumptions, and edge cases, • Clear articulation of why the model succeeds or fails in different regimes, • Translation of findings into guidance for future architecture and system design, • Exploration of applicability across multiple domains with complex dynamics, not just biology Who You Are You are someone who: • Operates with high agency — you identify problems, define solutions, and execute, • Brings high energy to complex, ambiguous engineering challenges, • Acts with high integrity — you are honest about tradeoffs, risks, and failure modes, • Communicates directly and clearly, especially when something won’t work, • Is self-aware about your strengths and gaps, and proactively fills them, • Thinks naturally in terms of dynamics, stability, and generalization, • Enjoys stress-testing models to understand their limits Required • PhD or equivalent experience in applied mathematics, physics, computer science, machine learning, or a related field, • At least 1 year of industry or applied research experience working on real modeling systems, • Strong grounding in dynamical systems, time-series modeling, control, or sequence modeling, • Experience evaluating models where ground truth is partial, delayed, or noisy, • Ability to design validation strategies when standard benchmarks are insufficient, • Comfort working with first-of-its-kind architectures and open-ended questions Strong Signals • Experience with state-space models, world models, neural ODEs, diffusion over time, or hybrid approaches, • Prior work on systems where prediction degrades over long horizons, • Exposure to biological, physical, or other real-world dynamical systems, • Competitive salary and meaningful equity, • Full benefits, • High-trust, high-ownership environment, • Rapid growth in scope and responsibility

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery. Job Description The Associate Director of Biotherapeutics & Genetic Medicine (BGM) AI/ML partnerships will be a key leader in driving AbbVie's AI/ML external strategy. This role requires an energetic strategic thinker, attuned to the innovation landscape, with deep, technical AI/ML experience in biopharma, who can leverage their background to represent BGM’s strategic priorities in external engagements. This position reports to the Head of AI/ML in BGM and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of AI/ML, ensuring that AI/ML initiatives align with our overarching business objectives, delivering tangible business value and accelerating our promise to patients. Key Responsibilities: • Develop a deep understanding of AbbVie’s biotherapeutics discovery processes and drug program pipeline and use that as a foundation to co-develop and champion an external AI/ML strategy that is aligned with key areas of impact, over both long- and short-term horizons., • Stay at the forefront of AI/ML innovation, technologies, and best practices, developing a bimonthly competitive intelligence report, in coordination with other teams that develop competitive intelligence across AbbVie, e.g., AI Strategy & Partnerships, Commercial Digital, R&D, BTS, and Corporate Strategy., • Collaborate with BGM’s internal AI/ML innovation team to conduct technical due diligence and detailed benchmarking of external partner AI/ML platforms with applicability to AbbVie’s BGM strategy., • Collaborate across the company (including Technology Licensing & Collaboration, Search & Evaluation, Business Development & Acquisitions, etc.) to ensure collaboration agreements are aligned with the value proposition for BGM., • Manage and coordinate collaborations with external partners, document key activities and drive projects towards impact., • Communicate the impact of AI/ML partnerships to AbbVie’s pipeline both internally at governance bodies and, where appropriate, externally, to the AI/ML community through conference presentations., • Mentor leaders and team members, creating a pipeline of AI/ML champions.Qualifications, • BS, MS, or PhD in Computational Chemistry, Bioinformatics, Computational Biology, Biology, or related discipline with typically 16+ (BS) years, 14+ (MS) years, or 8+ (PhD) years of experience., • Demonstrated ability to work cross-functionally with senior leaders and build trust-based partnerships to deliver results and influence change., • Experience with deep technical diligence on machine learning capabilities., • Prior experience in external partnerships and competitive landscape at a major pharma company or biotechnology organization., • Strong problem-solving mindset and comfort and ability to create structure from ambiguity., • Excellent executive communication and stakeholder-management skills with a proven ability to bridge technical and business perspectives. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Greetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes • Java Lead, • Bay Area, CA, • W2 Contract, • Experience: 10 YearsJob Summary, • Experience in implementing and integrating AI models, including Large Language Models (LLMs), into applications., • Google SDK, • Strong Java Engineers with microservices and Spring Boot experience., • Spring API Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

Job DescriptionBlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. By leveraging next-gen 4D sensors, we can precisely predict the motion of all objects, increasing accuracy, lowering latency, and setting a new standard for safety and efficiency in autonomy. Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world-class research institutions, and leading autonomous driving companies. With a proven track record of successful AV service launches in California, Texas, and Florida, we are well-positioned to drive the next generation of autonomy. We are seeking talented, self-motivated individuals who thrive in a fast-paced, dynamic environment and are passionate about making a significant impact on the future of mobility. If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you. As the ML Infrastructure Engineer at Bluespace, your mission will be to develop the Cloud Data Infrastructure System to support and enable our Assured AI for Autonomy. You will have the opportunity to design and develop the infrastructure, which will allow our developers to expand Bluespace’s APNT capabilities.Duties and Responsibilities • Take ownership of the infrastructure in support of developing and deploying Machine Learning models for Autonomous Vehicles, • Architect and deploy cloud and on-prem ML training and evaluation infrastructure, • Own the the data management pipelines, from ingestion and storage, to model training and evaluation that span vehicle compute, cloud, and on-prem, • Change model training code to take advantage of the better data storage techniques and formats you propose, • Evaluate and implement methods, software, and hardware for model deployment onto the test and production vehicles, • Develop systems and processes to improve transition of models from research to production while balancing cost, • Participate in model design, research and set requirements to model design that ensure their successful deployment, • Own and deliver projects end-to-end, • Optional: be able to hire, manage, or at least mentor other engineers who join this project when growth is neededQualifications and Experience, • Experience in architecting and implementing data engineering solutions for a small engineering team / product (1-20 ppl), • 2+ years of software engineering experience in any of the following: ML Infrastructure, Data Engineering, Platform Engineering, Distributed Systems, • Either existing experience with ML Infrastructure as described below, or strong expertise in non-ML Data infrastructure combined with a strong desire to learn ML Infra specifics, • Production ML experience with at least one of the following - (1). Model conversion and optimization for production (ONNX, TensorRT), (2) Model deployment on specialized hardware (e.g. Jetson), or (3) Model monitoring and MLOps, • Ability to programmatically access cloud services using Python, NodeJS, or equivalent, • Knowledge of or experience with data management solutions, such as - (1) Workflow orchestration pipelines (e.g. Argo, Airflow, Kubernetes) or (2) Managed large-scale data processing systems (e.g. Spark, Dataproc, Databricks), • Experience with Terraform or a similar IAC solution, • Robotics background, C++, ROS

Job Description About the Role Mercor is seeking experienced film and video editors to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the Role As a DevOps Engineering Lead working closely with our Head of ML Engineering, you will lead the design, build, and optimize the infrastructure and tools that enable us to take our research and development efforts from the lab into a highly reliable, performant and secure software stack in production. You'll help accelerate the processes involved in going from research prototypes into production and enterprise ready platforms with security, availability and reliability in mind. Your work will be at the intersection of research and engineering, ensuring our R&D team has the robust platform they need to push the boundaries of AI, working with our GPU vendors, cloud providers, and on-prem servers. 📍 This is an onsite role that is based in our SF office (345 California St.) Key Responsibilities • Focus on improving the reliability and performance of our Lambda cluster and model training pipeline., • Assist in managing multiple Kubernetes environments across cloud providers, • Maintain and build the internal observability platform across all environments, covering everything from GPUs, AI applications and distributed backend systems., • Take ownership of our model training and deployment systems, bringing them to a more scalable, production-ready state., • Aid in building comprehensive CI tests for GitOps repositories and promotion systems, • Build and maintain different environments for research and client facing products according to best practices About You • 5+ years of experience in DevOps, or infrastructure roles, with at least 2 years in machine learning infrastructure or MLOps. It would be a benefit if you have either built, maintained, or managed ML infrastructure using DevOps practices in the past., • Proficient in cloud-native architectures, with the ability to make the right tradeoffs where necessary, • Experienced with Linux, containers, GPU management, Nix, Kubernetes and an interest in making sure the infrastructure behind our models is secure by design., • Exceptional problem-solving skills with the ability to nimbly solve edge-cases with minimum disruption., • Solid software engineering skills in Rust, Golang or Python What We Offer • Competitive salary and early-stage equity package., • A high-trust, execution-first culture with minimal bureaucracy., • Direct ownership of meaningful projects with real business impact. Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

Job Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the Role We're looking for an AI Agent Engineer – a software engineer with deep experience in ML, LLMs, and/or agentic systems – to help push the limits of our internal agent framework and shape its design. You'll work side-by-side with researchers, ML engineers, and leadership to turn ambitious ideas into real-world systems. Expect to move fast, handle ambiguity, and fill the critical execution gap between research and production. 📍 This is an onsite role based in our SF office (345 California St). Your Focus • Design new agentic systems in our framework that were previously infeasible elsewhere — and test their limits., • Implement and evaluate open-source agentic systems (and customer-specific ones) within our framework., • Identify and solve bottlenecks in today's agent ecosystem (e.g. context engineering, MCP constraints, inter-agent communication, memory)., • Stay ahead of the curve by tracking new research and incorporating cutting-edge AI features as they're released.About You, • Deep understanding of LLM architecture and inference-time optimisation., • Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)., • Track record of rapid prototyping in the LLM/agent space., • Experience orchestrating and evaluating complex multi-agent systems., • Experience with autonomous, dynamic multi-agent systems (beyond DAGs)., • Context engineering expertise., • Embedding models & RAG., • Competitive salary + early-stage equity package., • High-trust, execution-first culture with minimal bureaucracy., • Direct ownership of meaningful projects with tangible impact. Read more about Symbolica: Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

Job Description About the Role Mercor is seeking experienced First-Line Supervisors of Police and Detectives to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. What You’ll Do * Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction * Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data * Design and implement robust validation strategies, experiment frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams * Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale * Present findings through well-structured dashboards, reports, and documentation Qualifications * Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance * 3–5+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment * Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis * Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools * Excellent communication skills with the ability to clearly present analytical insights Nice to Have * Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in an AI lab, fintech, product analytics, or ML-focused organization * Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data * Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join * Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. * Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. * Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. * Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. * Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Job Description About the Role Mercor is seeking experienced real estate sales agents to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests regarding your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective domain * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: 30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods . About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $250 by referring Share the referral link below, and earn $250 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more