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Job Description Deadline to apply for KQED Internships is Friday November 14, 2025. Please state which internship(s) you are applying for in your cover letter and apply to each one individually. This is a paid internship, working 16 hours per week from January 20, 2026 through June 26, 2026. Current Salary is $19.18 per hour. Position Summary: The Audience Intelligence team is charged with providing KQED with the data needed to make data informed decisions. The team serves as the central data hub for the organization and works with a variety of departments including news, science, arts, marketing, foundations and audience development. The Audience Intelligence intern will have many responsibilities including the mining of previous survey data sets for insights, and supporting future research through completion of qualitative interviews, questionnaire development, and survey analysis. The intern will also have the lead on a project allowing them to complete the internship with a deliverable that can be used in their future job search. This role is typically the best fit for candidates who are motivated by questions about how people think and behave, and who are considering careers involving UX, market, product, or design research. Applicants who are mainly interested in quantitative analysis are encouraged to apply instead to our analytics internship. KQED envisions a public media organization with a culture that centers on human dignity, equity, and belonging. This will enable us to better serve and reflect the Bay Area through diverse and inclusive storytelling. We value the contributions of marginalized people in society — including Black, Indigenous, and all people of color, people with disabilities, and LGBTQIA+ people — and we believe that these communities must be centered in the work we do, and we strongly encourage members of these communities to apply. The mission that drives us: KQED provide citizens of Northern California with a community-supported alternative to commercial media. We provide citizens with the knowledge they need to make informed decisions; convene community dialogue; bring the arts to everyone and engage audiences to share their stories. We help students and teachers thrive in 21st-century classrooms, and take people of all ages on journeys of exploration- exposing them to new people, places and ideas. This role requires working in KQED's newly renovated headquarters and working in the field. KQED requires employees to be fully vaccinated against COVID-19. Essential Functions: • Help develop new insights and analyses that inform organizational decisions and help us continue to engage our audiences through research projects, • Support research projects with interviews, questionnaire development, analysis, and learnings, • Presentation building for a variety of stakeholders, • Develop reports and visualizations to convey research findings, • Analyze and interpret information from multiple data sources., • An academic background in the social sciences (psychology, sociology, anthropology, political science, behavioral economics, cognitive linguistics, etc.) is preferred, but we also consider applicants with design and STEM backgrounds, • Basic knowledge of probability and statistics, • Interest in data analysis and visualization, • Excellent writing, research, and communication skills, • Strong attention to detail, • Problem-solving acumen, • Capacity to balance multiple responsibilities, • Ability to work independently Powered by JazzHR rW6J8f9Qmx

Job Description Company Background: Founded in 1940 and headquartered in San Francisco, Degenkolb Engineers has more than eight decades of commitment to innovation, client service, and life-long learning. We deliver customized structural solutions in a variety of practice areas such as healthcare, education, science and technology, forensics, construction engineering, and federal buildings. We address every project need—whether meeting stringent codes, staying on budget, adhering to tight schedules, or creating landmark structural systems. Position Description: We review candidates for this Entry-Level Structural Engineer | Designer position throughout the year in all of our California offices (Los Angeles, Oakland, Orange County, Sacramento, San Diego, and San Francisco), as well as Seattle, WA and our Midwest offices in Detroit and Grand Rapids, MI. Applicants may indicate interest in multiple locations on a single application. Ideal Candidate: A high-achieving master’s student (undergraduate GPA 3.40 or above) with a passion for structural engineering, seismic analysis (non-Michigan offices) and/or steel (Michigan). You want to be part of a high-performing team that supports your professional development with a challenging mix of projects, mentorship, and lifelong learning opportunities. Compensation and Benefits: The pay rate for this position, across the various offices, generally ranges between $82,000 and $102,000 annually. This range is a good faith estimate provided pursuant to pay transparency laws. Actual pay rates will be based on various factors, including location, company geographic differentials, education level, and candidate qualifications. Benefits include health and life insurance, commuter benefits, paid parental leave, 401(k) with company Profit Sharing contribution, employee ownership in a privately held stock plan, financial support for professional activities, company holidays, and a generous paid time off program. Benefits include health and life insurance, commuter benefits, paid parental leave, 401(k) with company Profit Sharing contribution, employee ownership in a privately held stock plan, financial support for professional activities, company holidays, and a generous paid time off program. Culture: We offer a flexible hybrid work schedule and a fun office environment! Our firm is highly collaborative and filled with experts united by a passion for industry involvement, pride in company ownership, and respect for personal lives. You will benefit from focused professional development within a supportive and transparent team environment, as well as opportunities for committee participation and leadership, variety in work assignments, and a pay scale set at the 75th market percentile. To learn more about the company, please visit: Job Description: Create a safe and beautifully built environment through expert engineering consultation, with a commitment to serving the needs of our clients. The core technical tasks you focus on during this training period will prepare you for the Professional Engineering (PE) licensing exam. Responsibilities: • Review architectural and structural drawings for new and existing structures to provide structural design and analysis., • Prepare engineering calculation packages, including assumptions and narrative to justify design methodology., • Assist in solving client construction challenges by coordinating with other disciplines, responding to RFIs, reviewing submittals, and performing construction engineering., • MS in Structural Engineering OR BS in Civil Engineering with a structural emphasis with 1–2 years of relevant, post-degree, full-time work experience., • Undergraduate GPA 3.40 or higher., • Professional communication skills., • Must be currently authorized to work in the United States for any employer., • Passing grade on FE exam., • Knowledge of software programs such as AutoCAD, Tekla, RISA, RAM, Revit, Excel, MathCAD, SAP2000, ETABS, Python, or others., • Demonstrated leadership potential. Submit all of the following: • Resume, • Unofficial transcripts—undergraduate and graduate, as applicable, • Targeted cover letter describing why you want to work with Degenkolb and how your background aligns with this position Degenkolb Engineers complies with Equal Opportunity Employer guidelines, meaning we do not discriminate in employment matters on the basis of race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. And we go beyond the laws - we are truly committed to increasing the diversity of our team and we value the different perspectives, skills, and experiences it brings to our firm.

Job Description About Us Saildrone builds autonomous systems that dominate the world’s oceans With more than 2 million nautical miles sailed and 50,000 days at sea, Saildrone has earned the trust of governments worldwide. Our unmanned surface vehicles (USVs) deliver continuous, real-time intelligence in the toughest oceans on Earth—giving our partners faster awareness, stronger security, and a decisive edge at sea. Our USVs are long-range, extreme-endurance platforms powered by advanced sensors and proprietary AI - they have been designed to operate where no crewed vessel can. They collect critical insights above and below the surface to support border security, law enforcement, naval operations, and undersea infrastructure protection. Headquartered in Alameda, CA, with offices in Washington, DC, and global deployment hubs, Saildrone operates missions worldwide. Join a fast-moving, mission-driven team at the intersection of AI, autonomy, and defense technology—where data turns into intelligence, and intelligence drives action. The Role Saildrone’s security team is growing! As we expand our customer base and mission portfolio, we face an ever-evolving threat landscape. Our vehicles operate far from home, for months at a time, everywhere from crowded inland waterways to remote nature sanctuaries to contested waters. You will have a direct hand in making sure our drones, data, and platform provide reliable service at all times. This includes responsibilities like: • Designing, building, and operating automated security systems for our drones and shore-side systems, • Reviewing designs and code from other engineering teams, with an eye toward security defects, • Responding to security incidents as part of a rotating on-call schedule, • Assessing the company's compliance with security standards, like NIST 800-171 or ISO27001, • Testing the company's security posture through manual and automated means, including tabletop exercises, penetration tests, and offensive scanners Required skills and experience • 8+ years of progressive experience, • Bachelor’s degree in a computer-related engineering field such as computer science or computer engineering, or equivalent experience, • At least two languages from the set {Python, C/C++, TypeScript, Go} and one other language, • Infrastructure automation frameworks such as Ansible, Terraform, or Puppet, • Cloud providers and their services, especially Amazon Web Services, • Previous security experience of some sort: security development, infrastructure security, security operations, etc. Desired skills and experience • Advanced degree in a computer-related engineering field such as computer science or computer engineering, or equivalent experience, • One or more of the following: Kubernetes and container technologies, Familiarity with PKI standards and applied cryptography, IoT or robotics technologies, including firmware, CAN architectures, and real-time operating systems, • Experience with FedRAMP or other government cybersecurity standards Physical requirements: • Regular use of a computer while sitting or standing at a desk for extended periods of time., • Travel up to 10%., • This position is subject to provisions of the International Traffic in Arms Regulations and/or the Export Administration Regulations, which may require individuals who are U.S. citizens, U.S. Permanent Residents, asylees, or refugees, or who have the ability to qualify for an export license. Location: This position is Hybrid in Alameda, CA (onsite 3 days per week). Our waterfront office offers beautiful views of San Francisco Bay in always sunny Alameda. All employees are required to provide proof of authorization to work in the U.S. within their first 3 days of work. Please note that the Company does not sponsor employees for work visas or permanent resident cards to work in the U.S. If you need sponsorship for a work visa or green card, you will not be qualified for employment with Saildrone. Benefits: • Paid time off, including vacation, bereavement, jury duty, sick time and parental leave, • Comprehensive and competitive medical, dental and vision plans, and HSA with employer matching., • Company sponsored life insurance, • Stock Options, • Annual stipend for continued learning and development, • Quarterly company BBQs at our Alameda HQ (bring your friends and family!), • Free Bay Area Public Transportation via AlamedaTMA with the BayPass Clipper Card A reasonable estimate of the current range is $189,000-$243,000 annually. Catch up on the latest news about us: The British Engineer Behind the US Navy’s High-tech Ocean Drones – The Times of London Denmark to Field Unmanned Vessels for Monitoring Busy Shipping Routes – Defense News Counter-drug Sea Drones Utilized by Navy as Trump Ramps Up Military Resources at the Border Saildrone, Palantir Partner to Use AI to Streamline USV Manufacturing, Operations – Breaking Defense An Underwater Mountain was Newly Discovered off California Coast – San Francisco Chronicle USVs Could Deter IUU Fishing – USNI Proceedings TIME 100 Most Influential Companies 2024: Saildrone Saildrone Featured Videos Playlist Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Saildrone are considered property of Saildrone and are not subject to payment of agency fees. #LI-Hybrid #LI-LP1

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. Job Description Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns. The CMC Biologics Drug Substance organization is a team of scientists driving scientific excellence and process development through innovative solutions. They are responsible for all Chemistry, Manufacturing, and Control (CMC) cell line and bioprocess development activities for AbbVie's early-stage and late-stage products. As an intern, you will have the opportunity to learn and work on key aspects of developing fundamental scientific understanding related to AbbVie's projects and processes, including exposure to innovative projects like applying machine learning (ML) techniques to build predictive models for our cell culture processes and improve our process development workflow. Key responsibilities include: • Develop and implement ML methodologies to build a hybrid model for predicting optimal outcomes in our cell culture processes., • Exercise significant independence in selecting modeling approaches, frameworks, and evaluation strategies for establishing a predictive hybrid model., • For the duration of the internship, take co-ownership of the project’s modeling life cycle, from data exploration and feature engineering to model validation and interpretation of the results., • If time permits, collaborate with senior scientists to design and execute cell culture experiments to generate data for model refining and additional model validation., • Present findings and progress to the department, effectively communicating methodologies, results, and potential impacts., • Learn and understand various aspects of cell culture process development, integrating computational approaches to enhance timelines and outcomes. Qualifications Minimum Qualifications • Currently enrolled in university, pursuing PhD in Computer Science, Statistics and Applied Mathematics, Computational Biology, Bioinformatics, Chemical Engineering, Data Science, or other related fields., • Solid understanding of ML methodologies, ML frameworks (e.g., Sci-kit Learn, TensorFlow, PyTorch), and statistical methods., • Demonstrate programming competency for model implementation in Python or an equivalent language., • Expected graduation date between December 2026 – Dec 2027., • Prior experience in developing and implementing ML models for biological data is highly desirable. Applied modeling experience from your own academic research or lab projects that go beyond standard coursework., • Proficiency with data visualization tools such as Matplotlib or Plotly to communicate model findings is a plus., • Effective writer and communicator with ability to interact effectively with interdisciplinary scientists and engineers., • High attention to detail, creativity in problem solving, strong interpersonal skills. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: Benefits and Amenities: * Competitive pay * Relocation support for eligible students * Select wellness benefits and paid holiday / sick time * Break rooms stocked with complimentary coffee, tea, beverages, snacks, and cold breakfast items. * Onsite café and fitness center. * 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 timeof this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, andwe may ultimately pay more or less than the posted range. This range may be modified in the future. 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 absolutediscretion 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 DescriptionAbout ZiplineDo you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.About You and the Role The Zipline Maps team is responsible for producing the high-precision geospatial data that our fully autonomous drones need to safely and reliably navigate complex urban environments—flying from fulfillment centers directly to homes, businesses, and other delivery locations. We build and maintain systems for collecting and aggregating spatial data from a variety of sources, validating our flight routes over the latest information, and providing geospatial services to stakeholders across the company. We use these tools to measure and manage risk and ensure regulatory compliance in each jurisdiction. As Zipline grows, the imperatives of scale are driving the development of robust systems that enable distributed teams to manage geographic data around the world. We analyze the accuracy of elevation models, estimate and track the completeness of ground feature datasets, evaluate the impact of new distribution centers, model an evolving regulatory landscape, and keep everything up-to-date as time passes and the world changes around us. As a Senior Full Stack Software Engineer, you'll play a critical role in shaping the systems that bridge complex backend services with human operators around the world. You'll collaborate with designers, product managers, and map editors to deliver elegant user interfaces that turn sophisticated data and workflows into simple, intuitive experiences. This role is not just about building features—it's about creating the face of Zipline's technology. From operational dashboards that track thousands of daily deliveries, to interfaces that help regulators evaluate safety and compliance, to design systems that empower our entire engineering org, your work will directly influence how the world interacts with autonomous delivery at scale. What You'll Bring • 8+ years of experience building and maintaining production web applications, • 3+ years of experience leading frontend projects, driving architectural decisions, and mentoring other engineers, • Strong expertise with Rust, Python, React (or similar frameworks), and modern full-stack tools, • Experience building component libraries and design systems that balance flexibility with consistency, • A customer-obsessed mindset, with the drive to continuously improve products in close feedback loops with real users Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Please Note We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline's behalf. Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud. If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at upon receiving a suspicious offer or claim.

Job DescriptionOur Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System As a Sr. Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Build software for hospitals and patients that will make their lives easier. * Find creative solutions to complex technical and product problems. * Build prototypes fast, but with a path in mind to turn them into robust systems over time. * Operate with a lot of independence and responsibility in solving complex issues. * Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. What You'll Bring: The Skills for Our Shared Mission We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * At least 7 years experience building, shipping, and maintaining full-stack applications in a production environment. * Advanced degree in Computer Science or other relevant technical focuses. * Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. * A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). * The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include * Languages: Python, Typescript * Frameworks: Flask, React, Apollo GraphQL * Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $190,000-$230,000 base salary + equity * While our compensation bands provide a clear framework, every candidate is assessed on a case-by-case basis. Your final offer will be thoughtfully determined by your individual experience, interview performance, and current market data. * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location * This is a unique opportunity to be a founding member of our new San Francisco hub. This role will begin as remote for candidates based in the Bay Area. As we finalize our downtown SF office (expected in the coming months), this role will transition to a hybrid model, with a requirement of 4 days per week in the office. You will play a critical role in shaping the engineering culture and team structure of our West Coast presence. * Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $190K - $230K

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced and hands-on Application Security Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You'll build the systems, tools, and processes that make security seamless for developers and strong by default, enabling rapid innovation while protecting our users at scale. Responsibilities • Design and implement scalable, developer-friendly security solutions that integrate directly into engineering workflows, • Lead threat modeling, design reviews, and code reviews for new features and major product launches, • Build and evolve secure-by-default frameworks for authentication, authorization, input validation, and secrets management, • Develop and integrate automated security tooling into CI/CD pipelines (e.g., linters, dependency scanners, policy enforcement), • Collaborate with product and engineering teams to remediate vulnerabilities, and contribute to incident response and postmortems, • Own, manage, and improve our third-party penetration testing engagements and bug bounty program, working closely with external security researchers to identify and resolve vulnerabilities, • Stay current on emerging threats and attack techniques, and drive ongoing maturity of our application security postureQualifications, • 8+ years of experience in Application Security, Product Security, or similar roles, • Deep understanding of secure software development practices, threat modeling, and common vulnerabilities (e.g., OWASP Top 10), • Familiarity with modern authentication and authorization patterns (OAuth, OIDC, SSO, Zero Trust), • Proven track record of building secure infrastructure, reusable libraries, or developer tooling, • Proficiency with at least one major programming language (e.g., Python, Go, JavaScript, Java) Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Description I’m working with an exciting, fast-growing startup in San Francisco that’s on the hunt for a talented Full Stack Engineer. If you’re looking to make a real impact by working with cutting-edge technologies like AI and LLMs, this is the opportunity for you! What You'll Do: • Dive into the full stack—backend, frontend, infrastructure, and design—bringing your expertise to every corner of the tech landscape., • Flex your skills in Python, JavaScript, React, React Native, Flask, PSQL, and LLM prompting to build scalable, high-performance solutions., • Work hands-on with LLM APIs like OpenAI’s GPT-4 and Anthropic Claude, driving innovation in AI-powered systems., • Collaborate closely with product and design teams, using your UI/UX intuition to help shape the future of the product., • Take full ownership of projects, managing everything from concept to execution, ensuring that your work directly impacts the company’s success., • Communicate your contributions clearly to both technical and non-technical team members, creating a seamless workflow across departments., • Adapt quickly in a fast-paced, dynamic environment—constantly learning and growing alongside a talented, driven team.What We're Looking For:, • Strong background in full stack development and APIs, with a preference for experience in agent-based AI systems and LLMs., • Strong Proficiency in LLM APIs such as OpenAI’s GPT-4 or Anthropic Claude., • A proactive, detail-oriented developer who thrives in fast-paced, ever-evolving environments., • A collaborative team player with a strong UI/UX sense, eager to iterate on designs with product teams., • Excellent communicator who can bridge the gap between technical details and business goals.

Job Description We’re looking for a technical leader with deep marketplace experience to own and scale the technology behind Station A’s clean energy marketplace. This is the engine that transforms clean energy opportunities into real projects by connecting buyers and providers through open, transparent competition. The ideal candidate thrives in an early-stage, fast-moving environment, but insists on building scalable systems, shaping technical culture, and translating engineering excellence into marketplace growth. About the role Finding clean energy opportunities is only the first step. The real challenge is getting projects transacted and built at scale. Today, most transactions in clean energy are slow, opaque, and manual. Buyers struggle to get competitive, apples-to-apples bids. Providers spend enormous time chasing projects that go nowhere. The result is higher costs, wasted time, and fewer megawatts deployed. At Station A, our marketplace changes this dynamic by creating open, standardized, and transparent workflows for clean energy transactions. Buyers get firm, competitive pricing. Providers gain efficient access to qualified projects. And the market as a whole benefits from lower origination costs and faster deployment. This role is about leading the technology that powers our transaction platform. You will own the marketplace stack that enables project listing, bidding, evaluation, and award. You will ensure our systems are scalable, trusted, and efficient as we grow to thousands of projects and billions in clean energy transactions. If you’re excited about scaling a marketplace that drives liquidity, efficiency, and trust in one of the most important markets of our time, we’d love to talk. Who we are Station A is a technology company reimagining how clean energy is bought and sold. Our remote-first team is made up of climate-minded technologists, strategists, and operators committed to making climate action a no-brainer for everyone. We combine proprietary software with industry expertise to guide commercial real estate owners and operators through their decarbonization journey, starting with evaluation of their portfolios and culminating in transactions through our clean energy marketplace. Compensation Company stage: Series A (post fundraise) Reports to: Head of Product Preferred Locations: San Francisco, Los Angeles, elsewhere in CA (Remote OK) We believe in pay transparency. The annual base salary for this role is $165k - $210k, with performance-based annual bonus and stock options. Learn more about our benefits here. What you’ll do • As Technical Lead, Transaction, you’ll combine hands-on engineering with leadership to grow and scale Station A’s marketplace platform. You will:, • Own the architecture and scalability of the marketplace platform, including project posting, bidding, evaluation, and award workflows., • Design and deliver full-stack product features that simplify and standardize transactions for buyers and providers., • Improve marketplace trust and efficiency by developing systems that handle repeat bidding, bid comparisons, and transparent reporting., • Set and uphold engineering standards for reliability, performance, and maintainability., • Mentor engineers and model best practices, helping the team scale while raising the technical bar., • Collaborate cross-functionally with Product, Design, Sales, and Marketplace Services to align marketplace features with business goals and user needs. You might be a fit if you have… • 8+ years of professional software engineering experience, including ownership of a multi-sided marketplace, platform, or transactional product., • Proven ability to design and scale complex systems that support workflows, bidding, payments, or contracts., • Strong experience with modern web stacks (Python, TypeScript, SQL databases), and comfort with cloud infrastructure (GCP or equivalent)., • Knowledge of marketplace dynamics such as liquidity, trust & safety, pricing transparency, and incentive design., • Familiarity with fintech integrations (payments, KYC/AML, escrow, etc.) or enterprise contracting systems., • Ability to mentor engineers and grow a culture of quality, ownership, and learning., • Strong communication skills, especially the ability to translate technical tradeoffs into business impacts.Bonus points for…, • Prior experience building B2B marketplaces or transactional SaaS platforms., • Exposure to clean energy, infrastructure, or climate tech., • Experience with smart contract systems or innovative contracting/payment tech., • A strong personal network of engineers who would want to work with you again. Why this role matters • Marketplace growth is core to Station A’s business. This role is responsible for the technology that makes transactions fast, fair, and scalable., • Liquidity and efficiency are everything in marketplaces. You will design the systems that drive trust and repeat use by both buyers and providers., • This is about impact at scale. Every deal closed through Station A means megawatts of clean energy deployed and millions in origination costs saved. Location & Travel • Preferred: San Francisco, Los Angeles, or California-based to align with core engineering hours and enable periodic in-person collaboration. We’re committed to supporting a healthy, sustainable life outside of work: • Remote-friendly work environment (U.S.-based) with coworking options, • Flexible PTO, • Monthly remote work stipend ($50/mo or $600/yr), • Learning & development budget to support your professional growth, • Comprehensive medical, dental, and vision insurance (including FSA and HSA options), • 401(k) plan, with matching on the roadmap, • 12-15 paid holidays annually Why you might be excited about this role • You believe transactions should be simpler, faster, and more transparent, and you are excited to drive standards that make clean energy deals as seamless as buying software., • You see the potential for technology to reduce friction and waste in an industry that is still analog and fragmented., • You’re motivated by the idea that every workflow you simplify or automate could unlock more projects, more savings, and more megawatts deployed., • You’re excited to apply your engineering leadership toward systems change with real carbon impact., • You enjoy building teams, mentoring, and leaving systems better than you found them. Our Commitment We believe diverse perspectives fuel better ideas and stronger outcomes. If you are excited about this role—even if you don’t meet 100% of the qualifications—we encourage you to apply. Station A is an equal opportunity employer committed to building an inclusive, respectful workplace. Hiring decisions are based solely on qualifications, merit, and business needs.

Job DescriptionCanvas Medical is accelerating everyday medicine with an EMR platform built for healthcare automation. We create modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to integrate data, automate workflows, and collaborate to solve healthcare's toughest challenges. In doing so we advance our mission to give care teams superpowers with software. Canvas is institutionally backed by some of the greatest technology investors in the world (funded notable health tech companies such as GoodRx, Oscar Health, and Hims & Hers Health). Role Description We're hiring a Solutions Engineer to join our Engineering team and build the technical bridge between customer needs and platform capabilities. This role is the engineering counterpart to our Solutions Consultants—where they translate customer needs into requirements, you'll transform those requirements into robust, scalable technical solutions that push the boundaries of our platform. As a Solutions Engineer, you'll architect and implement custom solutions using the Canvas SDK, build reusable plugins and integrations, and extend our platform's capabilities to meet complex healthcare automation challenges. You'll partner closely with Solutions Consultants to prototype rapidly, validate technical approaches, and deliver production-ready solutions that delight customers. This is a builder role where you'll directly impact how healthcare providers leverage our EMR platform while contributing to the evolution of our developer tools and SDK. The ideal candidate brings strong engineering fundamentals, passion for healthcare technology, and exceptional ability to navigate between rapid prototyping and production-quality code. You'll thrive in collaborative environments, balance customer urgency with engineering excellence, and drive technical decisions that scale. We're looking for someone who experiments fearlessly, iterates quickly, and can build elegant solutions from the ground up while maintaining the robustness required for healthcare systems.Responsibilities • Technical Solution Development, • Build production-ready solutions using the Canvas SDK, demonstrating mastery of event-driven architectures, handlers, and effects, • Transform PRDs from Solutions Consultants into elegant, maintainable code that solves real healthcare workflow challenges, • Create robust plugins and integrations that extend platform capabilities while maintaining HIPAA compliance and clinical documentation standards, • Develop and maintain a library of reusable components and patterns that accelerate future solution delivery, • Platform Enhancement & Innovation, • Identify gaps in SDK capabilities and contribute directly to platform improvements through pull requests and feature development, • Design and implement new SDK features that enable broader solution patterns across the customer base, • Build developer tools and utilities that improve the efficiency of both internal teams and external developers, • Create technical documentation, integration guides, and reference implementations for complex solutions, • Cross-Functional Technical Leadership, • Partner with Solutions Consultants to validate technical feasibility and architect optimal approaches, • Collaborate with core engineering teams to align custom solutions with platform roadmap and architectural standards, • Enable customer success through technical workshops, debugging sessions, and solution handoffs, • Mentor Solutions Consultants on technical concepts and best practices for SDK usageQualifications, • Required Experience & Background, • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience, • 2+ years of professional software development experience with modern web stacks, • Demonstrated ability to build end-to-end solutions from requirements to production deployment, • Strong problem-solving skills with ability to navigate ambiguous technical challenges, • Technical Skills & Capabilities, • Proficiency in Python is mandatory., • JavaScript/TypeScript and modern frontend frameworks (React preferred) are a bonus., • Experience with API design, event-driven architectures, and plugin-based systems, • Strong understanding of software design patterns, testing practices, and code maintainability, • Comfort with rapid prototyping while maintaining production-quality standards, • Experience with version control, CI/CD pipelines, and modern development workflows, • Healthcare & Domain Expertise, • Interest in healthcare technology and improving clinical workflows through automation, • Understanding of healthcare data standards (FHIR, HL7) or willingness to learn quickly, • Ability to translate clinical requirements into technical architecture decisions, • Appreciation for the complexity and criticality of healthcare systems, • Personal Attributes, • Builder mentality—passionate about creating solutions that directly impact users, • Collaborative approach to problem-solving with strong communication skills, • Growth mindset with ability to learn new technologies and domains rapidly, • Pragmatic engineering approach—knows when to build for today versus tomorrow, • Customer empathy with drive to understand and solve real user problems, • Nice-to-Have Qualifications, • Experience building or maintaining SDKs, developer tools, or platform products, • Background in healthcare IT, EMR integrations, or clinical systems, • Familiarity with regulatory requirements (HIPAA, FDA guidelines) for healthcare software, • Experience with Python for backend services or data processing, • Prior experience in customer-facing engineering or solutions architecture roles, • Contributions to open-source projects or technical community engagementWhat Success Looks Like at 90 Days, • Ship 5+ production-ready solutions that demonstrate deep understanding of the Canvas SDK and platform capabilities, • Contribute at least 2 meaningful enhancements to the SDK or developer tools based on customer solution needs, • Establish strong working relationships with Solutions Consultants and become go-to technical partner for complex implementations Canvas Medical provides equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Research shows that women and other minority groups might avoid applying if they don't meet 100% of the qualifications. We encourage you to apply even if you don't meet everything listed in the job posting. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Backend Engineer to design and scale the systems that power Collate’s products. You’ll build the APIs, services, and infrastructure that form the foundation of our platform, ensuring they are performant, reliable, and secure as we grow from prototypes to large-scale deployment. This role is ideal for someone who enjoys solving complex systems problems, thrives in an early-stage environment, and wants to see their work directly enable breakthroughs in life sciences. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.What You’ll Do • Design and build backend services, APIs, and data pipelines that support Collate’s products., • Ensure systems are performant, secure, and reliable at scale., • Collaborate with product, design, and ML teams to turn ideas into production-ready features., • Build internal tools and workflows that accelerate engineering productivity., • Continuously improve backend architecture to support rapid growth and new capabilities.What We’re Looking For, • Experience designing and scaling backend systems in production., • Strong skills in building APIs and services, with attention to reliability and performance., • Comfort working across the stack when needed, with a focus on backend depth., • Ability to move quickly while building for long-term maintainability., • Excitement to work in an early-stage startup where ownership is high and impact is immediate.

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 Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid’s User’s financial footprints. We embed within product teams to support OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision making approach everywhere we go. You’ll be a data scientist supporting Network Enablement Access (NEA). In this role, you’ll help build an industry-leading fintech consumer network by expanding access to, authorization for, and usability of Plaid users’ financial footprints. You’ll partner closely with embedded teams to support product goals and roadmaps, ensuring Plaid continues to deliver trusted, innovative, and scalable solutions that empower consumers to connect and use their financial data with confidence..Responsibilities • Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects., • Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence., • Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value., • Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams., • Design and analyze experiments to guide product decisions and optimize feature launches., • Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.Qualifications, • 5–7 years of experience as a Data Scientist or in a related analytics or data-focused role, • Strong track record of turning complex data into strategic insights and measurable business impact, • Proven ability to use experimentation, advanced analytics, and data storytelling to uncover opportunities that drive key product and business outcomes, • Strong technical foundation in SQL and Python for large-scale analysis, data modeling, and ML prototyping, • Experience developing and maintaining data pipelines and metrics frameworks using tools such as Airflow and dbt, • Background working with complex backend systems, ensuring data integrity, scalability, and operational reliability across platforms

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. Samba TV is building the future of cross-channel media measurement, and we are seeking our next rockstar Data Analyst to build with us! Samba TV is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world’s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more. At Samba TV, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science.WHAT YOU'LL DO • Extract data from Samba databases (e.g. conversion rate by audience segment)., • Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel)., • Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics., • Visualize data to make it more accessible internally and externally., • Independently manage, maintain, and execute the JIRA board ticketing system., • Define mechanisms (e.g. weekly standups, office hours) to manage workflows., • Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).WHO YOU ARE, • The James/Jayne Bond of Data Analysis., • Sophisticated technical mastery of SQL, Python, Databricks, BigQuery, • Cool under pressure - thrives in tackling high-stakes, complex data challenges., • Resourceful in problem solving - enjoys working independently to solve issues., • Unconventional - does things as they should be done, not have been done., • Goal-oriented - relentlessly driven to achieve goals and team success. REQUIRED SKILLS & EXPERIENCE, • 4-8 years of experience in a technical data analyst role., • Absolute technical fluency in SQL, Python, Databricks, BigQuery., • Capabilities in statistical analyses, modeling, and exploratory data investigations., • Strong communication skills, obsessively organized, meticulously detail-oriented., • Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows. PREFERRED SKILLS & EXPERIENCE, • Experience in adtech and/or media, marketing, or measurement analytics., • Experience independently managing JIRA or similar ticketing and prioritization systems.

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Hardware Test Team The Powertrain Test Team plays a critical role in ensuring the performance, reliability, and safety of the electric drivetrain that powers Zipline's life-saving delivery drones. As a sub-team within the broader Powertrain organization, we design and execute rigorous testing strategies across motors, propellers, batteries, and related components. Operating at the intersection of hardware and software, we validate systems under real-world conditions to ensure our drones perform flawlessly in some of the most demanding environments on Earth. Our work directly impacts Zipline's mission to provide fast, dependable access to essential medical and commercial supplies around the globe. The Role In developing a test asset, you will gain a deep understanding of the system you are working on. This could be the full avionics stack and the embedded code that lives in them, including flight computers, power distribution boards, battery management systems, and motor controllers. The test of these systems will likely involve the design and build of mechatronics systems and along with the development of complex scripts that automate many sensors and actuators with operator safety in mind. In all cases, you will have full ownership of the results of your work from early system prototypes to the data analysis and recommendations that come from it. If this sounds like something you'd be excited to tackle, read on. What You'll Do • Work with cross-functional teams in order to build a clear set of component and/or tester requirements, • Architect and implement software to validate the design and assembly of components from circuit boards to large mechanical assemblies, • Develop automation-centric software to streamline components testing, data collection and analysis, • Gain a deep understanding of the components under test to become an expert on its expected and intended behavior under different conditions, • Own a test asset through its entire lifecycle from planning and implementation to validation and analysis of resultsWhat You'll Bring, • Experience programming in Python with some knowledge of embedded C, • Experience developing software that interfaces directly with hardware and instrumentation, • Experience navigating data sheets and writing basic drivers for new components, • An understanding of basic electrical and/or mechanical principles Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $38 - 42/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Requirements We are seeking a product-minded Principal Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. • Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development., • Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions., • Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team., • Implement and improve validation, monitoring, and observability for ML services within the sandbox environment., • Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement., • Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability., • Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment., • Conduct code reviews and mentor team members to uphold high engineering standards., • Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.RequirementsQualifications / Experience / Technical Skills, • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience., • 10+ years of experience of professional software development experience, with a proven track record of shipping high-quality products., • You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience., • You have experience building developer-facing products, APIs, SDKs, or CLIs., • You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models., • Proven track record of deploying and maintaining ML services in production environments is a strong plus., • Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms., • LLMops/MLops experience is a strong plus, especially in developer-facing products., • Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.Soft Skills / Personal Characteristics, • Excellent written and verbal communication skills in English., • Collaborative team player with a passion for empowering developers and improving developer experience., • Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment.

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 DescriptionCanary Technologies is a fast-growing enterprise hospitality technology company that redefines the hotel experience by offering innovative solutions to drive efficiency and enhance the guest experience. Our core mission is to replace outdated technology in hotels with cutting-edge, user-friendly solutions. Backed by some of the top investors in Silicon Valley, including Y Combinator, Canary Technologies has earned the trust of thousands of hoteliers worldwide and serves some of the largest and most iconic hotel brands including Marriott and Wyndham. We are seeking a Senior Product Manager, Enterprise to lead product initiatives targeting Canary’s most strategic customer base. In this role, you will focus on building products for the world’s largest hotel chains, creating scalable solutions that operate seamlessly across thousands of properties. You will advocate for the unique needs of global enterprise customers while working in a fast-growing startup environment. Collaboration with Sales, Marketing, Customer Success, Engineering, and Design teams is essential to deliver high-impact outcomes. If you excel at product strategy, customer empathy, technical problem-solving, and enterprise relationship-building, this position is a strong fit.Responsibilities • Manage the end-to-end product lifecycle for products used by hotel chains worldwide, from strategy and roadmap development to execution and iteration., • Collaborate with other product teams at Canary to represent enterprise customers’ needs, influence product roadmaps, and ensure that scale and quality meet the expectations of key clients., • Serve as the primary representative of the Canary product team for enterprise customers, balancing hands-on delivery with coordination across other product and engineering teams., • Partner with Sales, Marketing, and Customer Success to define product narratives, support global rollouts, and turn enterprise feedback into actionable product improvements., • Develop a deep understanding of the relationship between hotel brands and their property portfolios, identifying and delivering product solutions that add value to both parties at scale., • Prioritize effectively and use data, intuition, and storytelling to align stakeholders and drive outcomes quickly.Qualifications, • Five or more years of product management experience, ideally in B2B SaaS, with a track record of launching successful features that deliver measurable results., • Strong product intuition and customer empathy, with the ability to work within hotel corporate offices to identify value problems and deliver high-quality, scalable solutions., • Ability to perform across enterprise functions, including:Account management: Serve as the primary Canary representative on calls with enterprise customers. Solutions architecture: Communicate complex product ideas involving multiple integration touchpoints. Product analytics: Leverage BI tools, SQL, and Python for data analysis., • Demonstrated success leading large, cross-functional initiatives involving three or more engineering teams and multiple go-to-market partners., • Comfortable working in a high-growth, fast-paced startup environment with shifting priorities., • Excellent communication and stakeholder management skills, with the ability to distill complex problems into clear, actionable plans.

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.Duties and Responsibilities • Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving)., • Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters., • Identify or collect the required datasets and implement data processing pipelines., • Deliver reliable software through continuous integration, automated testing, and code reviews., • Address the real-world issues encountered during tests or customer deployments.Qualification and Experience, • Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred., • Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others)., • Production experience with Deep Learning models (training, fine-tuning, or deployment)., • Excellent software engineering skills in Python or C++., • Strong analytical skills in linear algebra, geometry, and probability., • Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.Extra Credit, • Relevant industry experience with low-latency systems (prior work on self-driving vehicles, autonomy, and/or robotics projects)., • Experience building models from sensor data: lidar, radar, camera., • Experience with multi-modal models., • Strong academic track record in any field related to machine learning, as evidenced by top-tier publications., • Production ML experience with either: Model conversion and optimization for production (ONNX, TensorRT); Model deployment on specialized hardware (e.g. Jetson).

Job DescriptionAbout Us Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We’re looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact. About the Role Agtonomy’s QA team is seeking a hands-on System and Software QA Manager to make an immediate impact leading the test and deployment of new features, system updates, and software releases. This role will be in the driver’s seat building a high quality, repeatable test approach which unlock agricultural autonomy at global scale. What You'll Do • Lead and grow a high-performing QA team, providing clear direction, coaching, and career development for engineers across multiple domains., • Own test strategy for both software and integrated system validation, including unit, integration, HIL, simulation, and on-system testing., • Model a hands-on leadership style, balancing strategic direction with active involvement in day-to-day quality initiatives., • Prepare and execute safety validation testing in line with existing safety standards., • Establish quality gates and exit criteria for releases, ensuring issues are caught early and escalated effectively., • Define and implement automation frameworks that improve test coverage and reduce regression cycles across embedded, backend, and UI layers., • Collaborate cross-functionally with development, product, and operations teams to drive quality throughout the development lifecycle., • Track and communicate quality metrics (e.g., autonomy minutes, error rates, coverage gaps, reliability trends) to senior leadership and stakeholders., • Continuously improve QA processes, tools, and infrastructure to support rapid scaling and increased product complexity., • Represent QA in release reviews, incident investigations, and roadmap planning, ensuring quality considerations are built in from the start.What You'll Bring, • Bachelor’s or Master’s degree in Systems, Electrical, Mechanical, Robotics, or related engineering discipline., • 7+ years of experience integrating embedded systems into complex electro-mechanical platforms (preferably off-highway, automotive, or robotics)., • 4+ years direct management experience, with a proven track record of growing employees and ensuring execution to company needs., • Experience with system validation and verification across both lab environments and field deployments., • Proficiency in Python, C/C++, or similar for test automation, diagnostics, and data analysis., • Demonstrated ability to read, interpret, and implement OEM system specifications and safety standards., • Familiarity with functional safety frameworks (ISO 18497, ISO 25119, or equivalent) and best practices for safe system integration., • Comfortable working in fast-paced partner environments, balancing technical rigor with customer-facing collaboration.What Makes You a Strong Fit, • Experience in robotics, autonomous vehicles, or other complex electromechanical systems., • Familiarity with hardware-in-the-loop (HIL) setups, simulation environments, or field validation processes., • Experience driving compliance with safety or quality standards (e.g. ISO 18497, ISO 26262, IEC 61508, etc.)., • Comfortable operating at both strategic and tactical levels—setting QA vision while jumping in to debug when needed.

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 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: We're looking for an experienced Site Reliability Engineer to be a systems developer who engineers the software, tools, and automation required to scale our platform for the next generation of AI features. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • System Resilience & Self-Healing: Develop, test, and implement high-volume connection management and auto-scaling logic (in Go) for our Kubernetes clusters. Introduce and maintain self-healing and auto-remediation capabilities into core service layers to maintain 99.95% availability under peak load, • Dev Tooling & MTTR Improvement: Architect and implement tooling and automation that measurably improves our Mean Time To Resolution (MTTR), • Optimize our CI/CD toolchain (GitHub Actions, CircleCI, ArgoCD) by writing and hardening deployment controllers and safety checks, • Deep Observability & Diagnostics: Design and deploy instrumentation within Datadog for high-volume monitoring, • Utilize deep-dive investigations and platforms like Jeli to drive architectural improvements that measurably reduce operational toil, • Architectural Consulting & Standards: Act as a senior subject matter expert, partnering directly with Product Engineering teams to review designs, define SLOs, and ensure new services are inherently resilient and operable before production deployment, • Data Layer Performance Tuning: Conduct advanced performance analysis and capacity planning for our transactional and analytical databases (Spanner, PlanetScale, BigQuery), optimizing query execution and eliminating hot-spottingWhat you bring to the table:, • Proven History of Architectural Ownership: and driving reliability initiatives within complex, distributed production environments as an SRE, DevOps, or Infrastructure Engineering role. We also welcome experienced Software Engineers (backend/systems) with a dedicated focus on reliability, performance, and operational excellence, • Core Systems Development: Proficiency in Go and/or Python, with a proven history of developing and deploying production-grade automation and control plane components for infrastructure teams. You must be experienced and comfortable providing hands-on operational support for critical, high-volume legacy codebases (like a PHP/HHVM/Hack monolith) while driving modernization efforts, • Kubernetes Control Plane Engineering: Deep operational and architectural knowledge of Kubernetes (GKE) and the complexities of service mesh (Istio) networking in a high-volume environment., • High-Volume Tooling: Expert experience with CI/CD systems (GitHub Actions, CircleCI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform), • Observability & Debugging: Mastery of high-volume monitoring and observability stacks like Datadog, and a proven ability to perform deep-dive root cause analysis under production load using systems like Jeli, • Systems Foundation: Solid understanding of Linux systems, networking, and the challenges of large-scale distributed cloud architectures on GCP (AWS or equivalent)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 $110,000 - $230,000, 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, • 40 hours of annual paid time off to participate in volunteer programs of choice, • ate in the Quizlet stock option program 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. The Role As a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs. Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization. Key Responsibilities • Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders, • Read and write a lot of Go, Python, and Protobuf, • Build, test, debug, maintain, and scale our ecosystem of backend services and APIs with hyper-precise data structure alignment, • Design, implement, and coordinate critical application interface and database model changes, migrate and evolve schemas, and scale queries for multiple product work streams, • Interoperate with various storage and retrieval systems for both structured and unstructured data sets across the entire stack, • Troubleshoot and enhance system performance, reliability, and security to meet the evolving needs of the business, • Collaborate closely with product managers, UX designers, and frontend engineers to vet user requirements and data provenance with an end-to-end mindset, • Work on occasion in the platform and infrastructure layers to develop deployment automation, observability, monitoring, and alerting tools, • Fluency with Python and Go language runtimes, build tools, and library ecosystems, • First principles knowledge of modern distributed systems and how they apply to the needs of a small startup and throughout its growth phases, • Proven expertise in managing and orchestrating container-based deployments and microservices, • Command of complex application build configurations and workflows in a mono-repository setting, • Strong understanding of service oriented architectures, networking, and security fundamentals, • A bachelor's degree or higher, ideally in Computer Science or some STEM related field, • Demonstrated track record for Senior or Staff level software development talent and up, • Hands-on experience with Kubernetes, Google Cloud Platform and its various services., • Advanced programming skills in systems languages such as Rust, Scala, Java, or C/C++, development shell runtimes, and configuration languages, • Familiarity with the gRPC + Protocol Buffer ecosystem, • Experience deploying internet security solutions across engineering and non-engineering teams to protect employee resources, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $146,000 - $173,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

Job Description We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications. What You’ll Do • Build and maintain our core Python platform, which includes:, • Request routing, AI workload orchestration, GPU resource management., • Observability, authentication, rate limiting, and more., • Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs., • Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking., • 5+ years of experience in cloud computing, infrastructure engineering, or DevOps roles., • Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking)., • Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures., • Strong knowledge of cloud security best practices and data management strategies., • Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost., • Expertise in cloud platforms and services., • Experience with infrastructure as code tools (Terraform, CloudFormation)., • Familiarity with CI/CD pipelines and automation of deployment processes., • Competitive SF salary and foundational team equity

Job DescriptionCodeCombat is searching for a 100% remote Online Coding Instructor to teach CodeCombat Online Classes to K-12 learners. Our team of instructors conduct private, one-on-one classes for individual students in a remote setting. Lesson plans and level solutions are provided. Within CodeCombat’s Online Classes, students log in from across the globe to learn computer science with our provided curriculum of engaging educational games. Some of our games include CodeCombat, Ozaria, CodeCombat AI League esports, and CodeCombat Worlds on Roblox. This is a part-time, remote contractor role overseen by CodeCombat’s Chief Operating Officer. What You'll Do • Instruct students aged 8-16 in Python, JavaScript, and Lua, • Send personalized updates, feedback, and awards celebrating educational milestones with guardians at key points in the student's learning journey, • Actively communicate with guardians via email and Zoom, • Monitor Google Calendar, email, and Slack for new class requests, • Collaborate with Online Classes teams to identify pain points and coordinate class scheduling, • Maintain student attendance sheet and admin protocols, • Participate in quarterly CodeCombat instructor meetings and new product training meetings with CodeCombat’s Online Classes team, • Promote an appreciation and passion for Computer Science amongst our students, • Fluency in both English and Spanish. Comfortable leading classes in either language, • Availability that encompasses two or more weekdays during the time period of 2-8pm EDT (Eastern Daylight Time), • Bachelor’s degree in Computer Science or a related field AND/OR currently enrolled in an accredited education program in Computer Science or a related field, • Strong knowledge of Python, JavaScript, and Lua; comfortable teaching these languages to K-12 students, • Ability to conduct classes in a professional remote environment with minimal distractions, • Camera-confident; ability to foster an engaging, fun and meaningful connection with learners in a remote setting, • Ability to thrive in a nimble start-up. Execute resourcefulness when needed; embrace change and showcase adaptability in a dynamic environment, • Clear and responsive communication in Slack and email, • Detail-oriented with administrative tasks, • Identifies with CodeCombat’s vision to evolve education through game-based learning, • Comfortable interacting with minors aged 8-16 years old, • Bonus Points (nice to have but not required), • Additional CS languages including (but not limited to) HTML and CSS, • Fluency in languages other than English and Spanish, • Prior teaching or coaching experience We are a small, tight-knit team dedicated to providing an enjoyable, meaningful place to work. All of our team members work remotely from all around the world. Our Values Our work is purposeful. We bring our personal best every day, because our game-based learning can be life-changing for young people. Strength comes from interdependence. We recognize that each of us is central to the mission of CodeCombat. We know our differences create strength and resilience. We engage one another with respect for who we are, not only what we do. We create community with intention, because we need each other–and because it's fun. Kind, not just "nice". We don't let fear of not being "nice" get in the way of the direct communication that underpins healthy relationships. We build strong connections through honest dialogue, even when the conversations are difficult. Structure can be liberating. Transparent processes let us focus on making the right decisions–and they create channels for diverse voices to speak. Eliminate information silos and shadow structures; create known communication channels and clear responsibilities. We can operate at any speed. We're thoughtful about how fast we go. We pay attention when the lights change. Sometimes we walk. Learning and growth go hand-in-hand. Every experience is an opportunity to learn, and our team is growing every day. When we think we know it all, it means we have more to learn. CodeCombat is proud to be an equal opportunity employer. All qualified applicants will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation: $18-$20/hr Powered by JazzHR MFvBPEjJrY

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 Team (Applied AI): Our mission is to invent and deploy the next generation of intelligent, personalized, and adaptive learning experiences. We’re consolidating AI efforts across the company into a unified portfolio and are accountable for a disproportionate share of Quizlet’s growth and product differentiation. You’ll partner closely with Product, Data Science, and the AI & Data Platform to deliver an AI‑driven learning coach that’s recognized as best‑in‑class. About the Role: As Sr. Staff Applied AI Engineer, you will be the hands‑on technical leader shaping Quizlet’s AI develop in one of the two complementary domains: • Personalization & Ranking – retrieval and ranking systems that match learners with the right content, experiences, and monetization moments across surfaces (search, feed, notifications, ads). • Own the technical roadmap for applied AI spanning personalization, ranking, search, recommendations, and GenAI/LLM systems; tie modeling work directly to business metrics (engaged learners, conversion, retention, revenue), • Design end‑to‑end ML systems: candidate sourcing, embedding platforms & ANN retrieval, multi‑stage ranking (early/late), and value modeling with guardrails for fairness and integrity, • Lead LLM‑based features: stand up RAG pipelines, instruction‑/preference‑tuning (e.g., SFT/DPO/RL‑style), prompt engineering, and latency/cost‑aware inference strategies; define offline evals + human‑in‑the‑loop and online success metrics, • Create a “Learner 360” representation by synthesizing behavior signals, explicit inputs, and conversational context into robust embeddings reused across surfaces, • Institutionalize evaluation: build an eval harness for both ranking and generative systems (offline metrics like NDCG/AUC/BLEU/BERTScore; quality/safety scorecards; inter‑rater reliability), and close the loop with online A/B experiments, • Ship reliably at scale: drive training‑serving consistency, drift detection, canarying, rollbacks, on‑call standards for model services, and strong CI/CD for features & models, • Mentor and uplevel a high‑performing group of ML/SWE peers; set crisp technical direction and raise the bar on code quality, experimentation rigor, and reproducibility, • Partner deeply with Product, Design, Legal, and Data Science on objectives, risk/benefit tradeoffs, and responsible AI practices, • Stay current with the state of the art (RecSys, LLMs, multimodal) and selectively introduce methods that measurably improve learner outcomesWhat you bring to the table:, • 10+ years of industry experience in applied ML/AI or ML‑heavy software engineering, including staff‑level impact leading cross‑functional efforts end‑to‑end, • BS/MS/PhD in CS, ML, or related quantitative field (or equivalent experience), • Proven record shipping large‑scale ranking/personalization or search systems (retrieval, Two‑Tower/dual encoders, multi‑task rankers), and improving online metrics (e.g., CTR, session depth, retention), • Hands‑on with LLM/GenAI systems: data curation, fine‑tuning (SFT/PEFT, preference optimization), prompt engineering, evaluation, and productionization (latency/cost/safety), • Deep fluency in Python/PyTorch, data and feature engineering, distributed training/inference on GPUs, and modern MLOps (model registry, feature stores, monitoring, drift), • Strong experiment design (offline/online), metrics literacy, and skills translating ambiguous product goals into tractable modeling roadmaps, • Demonstrated technical leadership: mentoring senior engineers, setting architecture, and driving consensus amid ambiguityBonus points if you have:, • EdTech or consumer mobile experience; conversational tutoring or learning science‑informed modeling, • Publications/open‑source with RecSys/LLMs (e.g., RecSys, KDD, NeurIPS, ICLR, ACL), or contributions to safety/guardrails tooling, • Experience building on a modern MLOps stack (feature mgmt, orchestration, streaming, online inference at scale)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 $282,000 - $344,000, 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 401k 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. 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 DescriptionDeadline to apply for KQED Internships is Friday November 14, 2025. Please state which internship(s) you are applying for in your cover letter and apply to each one individually. This is a paid internship, working 16 hours per week from January 20, 2026 through June 26, 2026. Current Salary is $19.18 per hour. Position Summary: The Audience Intelligence team is charged with providing KQED with the data needed to make data informed decisions. The team serves as the central data hub for the organization and works with a variety of departments including news, science, arts, marketing, foundations and audience development. The Data Engineering intern will mainly focus on helping us identify relevant data sources, building ELT connectors, transforming data, and managing data orchestration. The role may at times include exploratory data analysis, modeling, and reporting/dashboarding. The intern will also have the lead on a project allowing them to complete the internship with a deliverable that can be used in their future job search. KQED envisions a public media organization with a culture that centers on human dignity, equity, and belonging. This will enable us to better serve and reflect the Bay Area through diverse and inclusive storytelling. We value the contributions of marginalized people in society — including Black, Indigenous, and all people of color, people with disabilities, and LGBTQIA+ people — and we believe that these communities must be centered in the work we do, and we strongly encourage members of these communities to apply. The mission that drives us: KQED provide citizens of Northern California with a community-supported alternative to commercial media. We provide citizens with the knowledge they need to make informed decisions; convene community dialogue; bring the arts to everyone and engage audiences to share their stories. We help students and teachers thrive in 21st-century classrooms, and take people of all ages on journeys of exploration- exposing them to new people, places and ideas. This role requires working in KQED's newly renovated headquarters and working in the field. KQED requires employees to be fully vaccinated against COVID-19. Essential Functions: • Write and deploy code to consolidate data that will inform organizational decisions and help us monitor our audiences, • Help define key audience metrics and how they are calculated, • Help define and manage the orchestration of our data workflows, • Build visualizations that that provide a unified view of data across the org, • Participate in meetings with stakeholder to identify and define data needs, • Proficiency in Python (including building complete projects and not just notebooks), • Familiarity with SQL, • Interest in data management and orchestration, • Excellent writing, research, and communication skills, • Strong attention to detail, • Problem-solving acumen, • Capacity to balance multiple responsibilities, • Bonus points for familiarity with:, • BigQuery (or another analytical database like Clickhouse or DuckDB), • ELT platforms (e.g., AirFlow, AirByte, etc.) Powered by JazzHR iMZ9fYKTwm

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members in shaping the Discovery Platform. You will play a critical role in defining the technical direction and designing a world-class scalable Discovery system that is scalable enough to keep pace with our business growth to power feed, browse, search and taxonomy systems while catering to the unique challenges of operating a marketplace for live shopping! Working in a highly cross functional role, you’ll make key decisions about how we integrate retrieval, ranking through machine learning, real-time and stream processing, content understanding, materialization into a highly personalized discovery experience that unlocks product iterations while providing strong reliability. An ideal candidate will have experience building discovery backend and data systems at scale, with a knack for working closely with product engineers to solve immediate problems for our users while making right tradeoffs towards building a platform. We’ll often prototype new ideas quickly, and then need to build them for extreme scale while coordinating closely with other teams - the ideal person for this role is an expert at both of these approaches. Learn more about the Discovery systems at Whatnot from our blog posts on Whatamix, LLMs for Search. What you'll do: * Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds * Build a scalable, stable, low latency discovery experience * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Software Engineer you should have 5+ years of experience, a Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience, and ideally deep experience with several of the following: * Industry experience in building and scaling a platform to handle high volume / throughput applications * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark, OpenSearch, ElasticSearch, Lucene, SOLR. * Experience with concurrent programming patterns across distributed systems (AsyncIO python preferred), and optimizations / profiling / observability associated with them. * Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (e.g. Terraform). In addition to these role-specific qualifications, all engineering team members are expected to have: * Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles. * Self-starter ethic, thriving under a high level of autonomy. * Exceptional interpersonal and communication skills. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $162K - $215K

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 are seeking a Project Scientist to join our Pilot teams. Our Pilot teams quickly identify and validate innovative approaches and biological topics that will accelerate our basic and translational research. Project Scientists will run rapid pilot studies, the goal of which is to prototype computational/experimental tools or test predictions in focus areas to accelerate biological discovery. Pilots drive the adoption of new technology and research topics within Arcadia and may also be a source of IP, licensing, and spin-outs. The Project Scientist will be expected to execute 4–5 pilots per year and should be able to identify key risks and optimize for “failing fast” so that they may pivot quickly between ambitious pursuits. At the end of each pilot, the Scientist will write up and publish their results. The ideal Project Scientist is independent, generative, rigorous, and can work as part of a highly collaborative and technically diverse team. Short term Fellowships and Internships may be considered by exception.Within the first month, the Project Scientist will: • Work in coordination with current Project Scientists toward existing pilot goals, • Contribute to collaborative ideation around new pilots, • Familiarize themselves with internal platform capabilitiesWithin 3 months, the Project Scientist will:, • Be able to pitch and lead research pilots, • Establish go/no-go decision points for pilots, • Achieve baseline computational fluency required for effective collaborations (internal training is available), • Be prepared to draft and publish pilots quicklyWithin the first year, the Project Scientist will:, • Have completed three or more pilot cycles, • Have contributed positively to establishing a new line of inquiry or platform development at Arcadia, • Be eligible to pitch the expansion of a successful pilot effortQualifications, • PhD or equivalent experience in life sciences or related fields and at least three years of post-PhD work experience in academia or industry, • Full-time experience in an industry outside of academia is valued but not an absolute requirement, • Programming experience (Minimum: Python or R and bash), • Basic knowledge of GitHub, • Wet lab experience/expertise in some domain (could be at any biological scale), • Experience leading collaborative initiatives (e.g., planning, prioritization, conflict resolution)

Job DescriptionFounding Engineer Full Stack (Voice AI) Location: San Francisco, CA (On-site, 5.5 days/week) Compensation: $160K $260K + Equity (0.5% 1.5%) Work Authorization: Visa sponsorship available for exceptional candidates Experience Level: 3-6 years Tech Stack: TypeScript, React, Python, Ruby on Rails, PostgreSQL, AWS About the Role A high-growth AI startup headquartered in San Francisco is redefining voice-based interactions by building hyper-realistic, AI-powered voice agents for customer support, order intake, and lead qualification. With strong revenue momentum, elite backing from top investors, and millions of calls already handled for major brands, this startup is scaling fast and theyre looking for a Founding Engineer to join the core team. You'll be working at the bleeding edge of LLMs, voice synthesis, and conversational UX, all while shaping product, infrastructure, and company culture from the ground up. What You'll Do * Build, deploy, and scale full-stack voice AI applications used by real enterprise customers * Collaborate directly with founders and customers to iterate fast and ship meaningful features * Influence product architecture and technical decisions as an early and critical member of the team * Own significant chunks of the backend, especially around real-time data, speech, and AI model pipelines * Help lay the groundwork for engineering excellence in a fast-moving, high-ownership environment Ideal Candidate * 3-6 years of experience as a full-stack engineer (heavier backend experience is preferred) * Demonstrated success building and shipping products at high-growth startups or technical companies * Practical experience applying AI/LLM technologies or working with voice/NLP-based systems * Comfortable with a lean team, fast feedback loops, and high product ownership * Background in CS or a related technical field * Motivated to work in-person with the team 5.5 days a week (Mon-Fri, 9-7 + Sun, 11-5) Why This Role Is Unique * Founding team access: Work side-by-side with seasoned operators and visionary investors * Massive impact: Early voice AI product already powering interactions for major enterprises * Real ownership: Equity, autonomy, and full-stack exposure in a hyper-growth trajectory * Zero fluff: A lean team of high-performers, no bloated headcount, just pure execution If you're hungry to build the future of AI-driven communication and want to work on meaningful systems from day one, this is your launchpad. Let's talk.

Job Description Position Overview The Process Engineer will play a critical role in optimizing calibration and repair processes to ensure high quality, safety, and efficiency within the operation. This individual will be responsible for evaluating current processes, developing improvements, and implementing new technologies and methods to meet organizational goals and regulatory requirements. The corporate role will support development, maintenance, and optimization of calibration automation platforms and ensure continuous improvement of laboratory calibration processes. This includes developing and identifying mechanical and software based automation solutions, writing and maintaining automation scripts, training calibration personnel, and analyzing technical workflows for efficiency and compliance. The role also encompasses documentation development, project implementation and cross-functional support across all SIMCO laboratories to drive operational excellence and standardization. Responsibilities and Duties Process Design and Improvement • Evaluate existing calibration and repair processes for mechanical and electrical equipment such as oscilloscopes, multimeters, pressure, torque tools, physical dimensional tools, mass and environmental monitoring instruments., • Analyze calibration workflows and recommend process improvements to enhance throughput, reduce cycle time, and eliminate non-value-added steps., • Support Lean and Six Sigma initiatives aimed at improving laboratory operations, efficiency and quality., • Develop and report key performance indicators (KPIs) for calibration efficiency and automation utilization., • Standardize procedures and processes across laboratories to ensure uniform practices and consistent quality., • Apply lean manufacturing and Six Sigma methodologies to identify bottlenecks and root causes of inefficiency., • Evaluate and recommend new automation tools and technologies for future capability expansion., • Lead cross-site training and provide technical guidance on the use of calibration automation systems., • Design, write, and maintain automated calibration procedures using platforms such as PYTHON, METCAL, SureCal, NI LabVIEW., • Develop automation interfaces and support system integrations critical to calibration workflows and technician UI., • Perform root cause analysis and troubleshooting on automation system failures or deviations., • Support selection and implementation of new calibration and repair equipment., • Optimize equipment layouts and tooling for improved ergonomics and productivity., • Maintain and update the Model Master File (MMF) to accurately reflect instrument classifications and specifications., • Create and revise calibration procedures—both manual and automated—to ensure technical accuracy and regulatory compliance., • Provide technical support and training to calibration and repair technicians. Education: • 5+ years of experience in process engineering in technical equipment manufacturing, design or servicing organization., • Proficient in lean manufacturing, root cause analysis, and continuous improvement tools., • Familiarity with quality management systems (ISO 9001, ISO 17025, Z540)., • Strong problem-solving skills and ability to manage multiple projects simultaneously., • Strong proficiency with Microsoft Excel; experience with scripting/macros is a plus., • Proficiency in software and hardware automation platforms such as Python, CAD, LabVIEW or other related software., • Experience with SharePoint, PowerBI and data management systems is a plus., • Must be able to lift 45 pounds without assistance., • Works in a SIMCO laboratory or production environments, with occasional remote tasks as needed., • May involve travel to customer locations or other SIMCO facilities (domestic and possibly international) for project implementation, training, or technical support.

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Own model deployment, metadata management, and high-throughput inference strategy for both retrieval ("Marengo") and generative ("Pegasus") models * Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices * Build the highest impact, not the flashiest, libraries and services * Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment You May Be A Good Fit If You Have: * 6+ years of relevant industry experience * Demonstrated experience as a technical lead to deliver projects end to end. * Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang) * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) Strong Candidates May Also Have Experience: * Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Building Kubernetes-based systems for distributed data/ML workflows * Working with FFmpeg or other high performance image/video processing libraries * A PhD, or a Master's degree, in machine learning or a closely related discipline * Acquiring, filtering, (re)labeling, or sanitizing large scale language or vision-language datasets for LLM/VLM pretraining Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $225K - $325K

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionTeam Lead, Site Reliability EngineeringCalifornia \u007C Remote \u007C Work from Home Why Pythian:At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian, a multinational company, was founded in 1997 and started by ensuring the reliability and performance of mission-critical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from on-premises to cloud environments, and as enterprises sought more from their data, we expanded our competencies to include advanced analytics. Today, we empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today’s rapidly changing digital economy. Why You: Pythian is building a next-generation Site Reliability Engineering team, and we’re looking for a talented, and experienced Team Lead who thrives in fast-paced, problem-solving environments. As a Team Lead, you’ll be responsible for leading a team of site reliability engineers that are designing, deploying, and operating large-scale distributed systems across compute, storage, networking, and AI/ML environments. You will act as the primary technical escalation point, oversee day-to-day operational delivery, mentor and coach team members, and ensure adherence to SLAs and quality standards. You may also directly contribute to delivery by leading projects from architecture to automation to intelligent monitoring, collaborating with both clients and teammates to build resilient, high-performing infrastructure. If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn! What you will be doing: • Team Leadership & Operational Management:, • Lead and mentor a team of Site Reliability Engineers to ensure technical excellence, timely resolution of incidents, and professional growth of team members., • Oversee queue management, ticket prioritization, and workload distribution to meet SLA and utilization targets., • Act as the primary point of contact for critical escalations and severity-1 incidents, providing guidance and technical direction., • Conduct performance reviews, and knowledge-sharing sessions to strengthen the team’s capabilities., • Collaborate with management on performance metrics, process adherence, and resource planning., • Sets specific goals and objectives for team members as part of Pythian’s goal planning program. Provides guidance to team members in regards to training opportunities as part of Pythian’s self-directed training program. Meets regularly with team members for one-on-one sessions to disseminate information and gain feedback on opportunities for improvement., • Technical Responsibilities:, • Operate and optimize Kubernetes clusters, Istio service mesh, and Linux-based systems., • Automate workflows using Go, Python, and Shell scripting., • Build monitoring and observability solutions with Prometheus, Grafana, and Loki., • Troubleshoot complex networking, storage, and system performance issues., • Partner with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.What you bring:, • A minimum of 3 years previous experience leading a team., • Experience with Google Cloud, plus IaC tools (Terraform)., • Strong knowledge of microservices, containers (Kubernetes, Docker), and networking., • Hands-on experience with PKI, service mesh, and Linux systems administration., • SRE mindset with a focus on automation, scalability, and reliability.What you get in return:, • Love your career: Competitive total rewards package. Blog during work hours. Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!, • Love your work/life balance: Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection., • Love your coworkers: Collaborate with some of the best and brightest in the industry!, • Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!

Job Description Company Overview: Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows; we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. The Role: We're seeking a Solutions Architect to showcase the power of our Generative AI platform to prospective customers and partners in the finance and accounting sectors. In this role, you'll architect and implement proofs of concept (POCs) that demonstrate the measurable impact Legion Intelligence can deliver to financial operations, accounting workflows, and fiscal reporting processes. You'll educate prospects on how Legion's AI capabilities improve data management, reporting accuracy, and operational efficiency, while addressing common concerns such as hallucinations, data privacy, and regulatory compliance. Internally, you'll act as the voice of the customer, translating finance domain challenges into actionable product insights to help shape the evolution of Legion Intelligence's offerings for financial applications. This is a high-impact, cross-functional role that bridges pre-sales, product development, and customer success, requiring both technical fluency and business acumen. Due to Government contract requirements, we are only able to hire US citizens or Green Card holders. Key Responsibilities: • Architect & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to prospective finance and accounting customers., • Pre-Sales Engagement: Partner with sales teams to identify customer pain points and craft technical solutions that highlight Legion Intelligence's value., • Customer Relationship Building: Establish trust with technical and business stakeholders, providing clear assessments of AI readiness, compliance implications, and expected ROI., • Product Evangelism: Represent customer needs internally by sharing insights on financial workflows, ERP integration requirements, and emerging trends in AI adoption., • Partner Collaboration: Work with ERP, accounting tech, and financial services partners to build joint demos, integrations, and go-to-market assets., • Technical Leadership: Lead pre-sales presentations, workshops, and demos, translating technical AI concepts into business impact for non-technical audiences., • Continuous Improvement: Relay feedback to engineering and product teams to refine features, improve model performance, and enhance user experience for finance-specific use cases. Qualifications: • 4+ years of experience in pre-sales engineering or solutions architecture, ideally serving enterprise clients., • Ability to understand and translate AI capabilities for finance and accounting applications, such as data classification, reconciliation, and regulatory compliance automation., • Proficiency with Python or similar scripting languages., • Strong understanding of financial and accounting workflows, including opportunities for automation and AI-driven optimization., • Familiarity with major ERP systems (e.g., NetSuite, Oracle, SAP, Workday). Preferred Qualifications: • Experience working in a startup or fast-scaling technology environment., • Demonstrated success partnering with finance departments, accounting tech vendors, or ERP platform providers., • Experience designing AI or data automation solutions for financial operations, auditing, or compliance. Why Legion Intelligence: • Opportunity to be at the forefront of enterprise AI adoption in one of the world's most data-sensitive industries., • Work alongside experts in AI, data infrastructure, and enterprise sales., • Competitive compensation, remote flexibility, and a culture of curiosity, impact, and integrity.Compensation Information$170,000—$230,000 USD

Job DescriptionWho we are Socket helps devs and security teams ship faster by cutting out security busywork. Thousands of orgs use Socket to safely find, audit, and manage open source code. Our customers — from Anthropic to xAI, and Figma to Vercel — love Socket (just check out their tweets to see for yourself!) Founded by Feross Aboukhadijeh, a long-time open source maintainer with software downloaded over a billion times a month, Socket has raised $65M in funding from top angels, operators, and security leaders. About the Role We're looking for a high-performing Forward Deployed Engineer to serve as the technical bridge between Socket's enterprise customers and our engineering teams. In this role, you'll combine your software development expertise with exceptional customer skills to drive successful implementations, write custom code, and build the foundation for our professional services offering. You'll play a critical role in ensuring our largest customers achieve maximum value from Socket's security platform while helping shape the future of our technical services. This role is remote with 20-30% travel required for customer onsite engagements. What You'll Do * Serve as the primary technical advisor and trusted expert for 5-8 enterprise accounts. * Write custom code, scripts, and integrations to solve complex customer implementation challenges. * Lead technical onboarding sessions, training workshops, and hands-on implementation guidance. * Develop custom SAST rules, CVE rules, and security policies tailored to customer environments. * Coordinate seamless technical rollouts and integrations across complex enterprise environments. * Build and maintain strong relationships with customer engineering teams and security stakeholders. * Create standardized technical documentation, best practices guides, and reusable implementation playbooks. * Facilitate communication between customers and internal product teams, translating feedback into actionable insights. * Conduct on-site technical engagements including security assessments, alert optimization, and advanced configuration. * Review and optimize customer alert configurations, reducing noise and improving security coverage. * Anticipate technical challenges and proactively develop solutions that drive product adoption and customer success. * Support the development of billable professional services offerings and advanced technical consulting. What You'll Bring * 5+ years of software development experience with strong coding skills in TypeScript, JavaScript, or Python. * Proven track record building integrations, APIs, webhook implementations, and automation scripts in production environments. * Exceptional communication and presentation skills with natural ability to explain complex technical concepts. * A customer-first mindset — you genuinely enjoy solving problems for clients and building lasting relationships. * Strong understanding of modern development workflows, CI/CD pipelines, and DevOps practices. * Knowledge of security tools, vulnerability management, and software composition analysis preferred. * Experience with open source ecosystems and supply chain security concepts. * Comfortable with travel and on-site customer engagements as the face of Socket's technical expertise. * Experience with scripting and automation for DevOps or security use cases. Interview Process: * Informational with a member of our Talent Team * Virtual f2f with the Hiring Manager * Virtual f2f with a Peer * Take-home problem & brief presentation of your work * Internal Debrief * Final Interview with our CEO, Feross * References * Decision/Offer The reasonably estimated annualized salary for this role ranges from $125,000-$200,000, plus a competitive equity package and other benefits. Actual compensation is based on the candidate's skills assessed in the interview process, qualifications, and experience. As we know how important clarity is when looking for a new role, we've put together a read-me about the Interview Process at Socket, should you be invited for an interview. At Socket, we * Pursue Excellence: We set ourselves apart by consistently delivering work of exceptional quality and distinction. * Move with urgency and focus: We prioritize swift, decisive action. * Think rigorously: We care about being right and it often takes reasoning from first principles to get there. We value alternative perspectives and have constructive discussions. * Trust and amplify: We overtrust, always assume good intent, and give specific feedback to help each other improve. * Feel a strong sense of ownership: We wear many hats and feel a strong sense of overall ownership of the company and we're non-territorial regarding our nominal domains. * Are customer obsessed: We relentlessly prioritize the needs of our customers, striving to exceed their expectations and delight them at every interaction. Compensation Range: $125K - $200K

Job DescriptionSenior Data/AI/ML Software Engineer Location: Hybrid (San Francisco Bay Area) or Remote (US Only for exceptional candidates) Compensation: $150,000 - $300,000 (Varies based on level and location) + Equity We are a pioneering Clinical Data Intelligence platform that leverages cutting-edge AI, Machine Reading, and Knowledge Graph technology to automate cognitive tasks involving clinical data. Our solutions directly empower clinicians, researchers, and care coordinators to improve efficiency, reduce frustration, and enhance patient care. We are seeking a Senior Data/AI/ML Software Engineer to build and scale the core components of our mission-critical platform. You'll be responsible for designing, implementing, and improving data-intensive systems that automate the extraction and synthesis of health information. Your work directly impacts applications used by clinicians every day. What you'll do: • AI/ML Development: Build and improve clinical/health information extractors and summarizers that utilize advanced Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) prompt engineering., • Data Pipelining: Design, implement, and maintain robust data pipelines to scrape, collect, extract, transform, query, analyze, mine, and distill both structured and unstructured data., • System Intelligence: Contribute to expanding and refining our clinical knowledge graph and building supporting data/AI/ML systems and automations to evaluate system quality and performance., • Security & Compliance: Develop and deploy secure code, upholding the confidentiality, integrity, and availability of information systems in compliance with HIPAA and SOC 2. Required Qualifications: • Experience: 7+ years of full-time (not internship or contract) experience in AI/ML or full stack software engineering, specifically with data-intensive systems., • Technical Expertise: Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering., • Core Stack: Proficiency in Python and SQL along with experience using core data tools like PostgreSQL, dbt, and BigQuery., • ML/AI Tools: Hands-on experience with ML/AI technologies such as LLM prompt engineering and frameworks like PyTorch., • Systems Engineering: Experience with cloud platforms (e.g., Google Cloud Platform), Linux, bash scripting, and building web services (e.g., Django, FastAPI)., • Compliance: Comfortable developing secure systems and processes in compliance with regulated standards., • Work Eligibility: Must be authorized to work in the United States. Preferred Qualifications: • Familiarity with the healthcare and medical domains., • Impact: Work on cutting-edge technology (Machine Reading, Knowledge Graphs, LLMs) to solve real-world problems that directly influence patient care and medical efficiency., • Compensation: Highly competitive salary ($150,000 - $300,000) and an attractive equity package (0.1%-0.5%)., • Flexibility: We are a remote-first company, offering remote work for truly exceptional candidates, though most team members in the Bay Area enjoy a hybrid schedule (San Francisco office once or more weekly)., • Timezone: Must be able to work during core hours in the Pacific timezone., • Visa Support: H1B transfers are available (we cannot sponsor new H1B visas)., • Team: Join a small, high-performing team building advanced solutions in a rapidly evolving, mission-driven industry. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionAbout us:Based in Berkeley, CA, UPSIDE Foods grows meat, poultry, and seafood directly from real animal cells. These products are not vegan or vegetarian—they are delicious meat, made without the need to raise and slaughter billions of animals. In doing so, the company aims to address some of the most pressing environmental, animal welfare, and public health challenges, while still giving people the meat they love. Founded as the world's first cultivated meat company in 2015, UPSIDE Foods (formerly Memphis Meats) has achieved numerous industry-defining milestones, including being the first company to produce multiple species of meat (beef, chicken, and duck) and to sell a cultivated meat product in the United States. The company believes that people shouldn't have to choose between the foods they love and a thriving planet, and is working to build a better food system with access to delicious, humane, and sustainable meat, poultry, and seafood. UPSIDE Foods has won various industry awards, including New York Times' Good Tech Awards, FastCo's Next Big Thing in Tech and World Changing Ideas Awards, and the Best and Brightest Companies to Work For in the Nation by the National Association for Business Resources. UPSIDE Foods has raised a total of $608 million, including from the Abu Dhabi Growth Fund (ADG), Baillie Gifford, Bill Gates, Cargill, John Doerr, John Mackey, Kimbal and Christiana Musk, Norwest, Richard Branson, Softbank, Temasek, Threshold, Tyson Foods, and others.About this job:We are seeking a highly motivated and innovative Scientist I to join our Cell Line Development team. This role is critical to building and advancing UPSIDE's proprietary cell line assets for commercial-scale cultivated meat production. The successful candidate will bring scientific rigor, curiosity, and strong collaboration skills to design, execute, and deliver breakthrough cellular systems that enhance manufacturability, scalability, and product quality.Responsibilities include: • Clonal Cell Line Development: Design, generate, characterize, and document new clonal cell lines with improved scalability, stability, productivity, and product attributes to support commercial launches. Support upstream process development to prove out capabilities of cell lines at larger scales., • Deliver Enhanced Cell Line Attributes: Discover & develop novel assays for biomarkers linked to enhanced cell attributes and incorporate for high-throughput cell selection., • Cross-Functional Collaboration: Partner closely with functional teams across R&D, Manufacturing, and Product Development to ensure cell line assets meet business and scientific needs., • Scientific Leadership: Provide technical mentorship and feedback to colleagues, fostering a culture of curiosity, teamwork, and problem-solving. Drive cell line selection decisions with respect to business needs and present recommendations and trade-offs to stakeholders., • Technology Integration: Evaluate and implement emerging technologies, tools, and methods to accelerate cell line development and maintain competitive differentiation.About you:, • Ph.D. in biology, bioengineering, or related field or B.S. with 5+ years relevant industry experience., • Strong background in mammalian cell culture, cell biology, cell-based molecular assay development (e.g. RT-PCR, immunofluorescence, flow cytometry, protein analysis etc), and data analysis., • Familiar or willing to work with liquid handling robots and controlled bioreactors., • Proficiency in programming (e.g. Python, R, SQL) is a plus., • Strong written and oral communication skills, able to synthesize and present complex concepts to technical experts and non-experts., • Comfortable working in a fast-paced and collaborative environment.Who you'll work with:, • This role is embedded within a functional team responsible for all aspects of cell line and early process development, comprising cell line generation, cellular adaptation, cloning, automation, and characterization., • Will also work cross-functionally with process development, data, product development, and cell culture media teams.Key Contributions in First Year:, • Mastery of cell line generation process for meeting requirements of cultivated meat., • Delivery of best-in-class cell line with the highest product quality and manufacturing characteristics., • Documentation and traceable characterization data for clonal cell lines, integrated into enterprise data management system where appropriate, • Stock options for all full-time incoming team members!, • 90-100% employer-paid healthcare premiums for team members (medical [including HSA and FSA], dental, and vision), • Pet insurance for your furry family members!, • Unlimited PTO, • Employee Engagement Council, • Company-sponsored learning & development opportunities UPSIDE Foods is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our company-wide mission is to create a product for everyone, so we are deeply committed to having teams and leaders that reflect this mission.

Job DescriptionData Analytics Manager San Francisco, CA At Rothy’s, we know there’s a better way to do business, and it starts by putting the planet and its people first. More than 200 million single-use plastic bottles and 715,000 pounds of ocean-bound marine plastic have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don’t compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go. At Rothy’s, building a sustainable future is at the heart of everything we do. We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day. About the Team: Our Data Analytics team has that incredible ability to distill the complex into the essential. From analyzing business trends to providing an in-depth look at consumer behavior, this team takes data and numbers—and transforms them into meaningful insights. The important work that these analytical minds spearhead is essential to the business, helping us determine the best path forward. About the role: Are you passionate about combining data-driven insights with a purpose-driven brand? At Rothy’s, we’re on a mission to create beautiful, sustainable products - and we’re looking for a strategic thinker with strong analytical expertise to help us grow smarter. As the Data Analytics Manager, you’ll support our omni-channel teams (eCommerce, retail, and marketplace) to uncover meaningful insights across the customer journey. Your work will inform our marketing strategy, helping us better understand performance across channels, segment our customer base, and identify opportunities for personalized engagement. What you’ll do: Sales & Channel Reporting * Own and manage comprehensive sales reporting across eCommerce, retail, and marketplace channels, ensuring data accuracy and consistency * Provide actionable insights to business stakeholders, helping guide decisions on channel strategy * Proactively highlight risks and opportunities based on sales trends, customer behavior, and channel performance * Collaborate cross-functionally to align reporting with evolving business goals and strategic initiatives Customer & Behavioral Analytics * Create data assets and automated alerting to monitor & reporting of key behavioral trends across channels (e.g., new vs. retained customer analytics) * Conduct market basket analyses to identify purchase patterns and opportunities for cross-sell/upsell * Build and maintain product index performance reporting by customer segment You are: * An analytical thinker who excels at uncovering insights, communicating clearly with stakeholders, and telling compelling stories through data and visualizations * Familiar with omni-channel business models, including retail, eCommerce, and marketplace environments, and how they intersect across the customer journey * Detail-oriented and precise, with a commitment to maintaining data accuracy and consistency across multiple tools and platforms You have: * 3-5 years of experience in analytics, business intelligence, or related roles * Solid skills in analytical insight, stakeholder communication, storytelling with data, and data visualization * A strong understanding of omni-channel business models (retail, eCommerce, marketplace) * Expertise in SQL essential (window functions, CTEs, subqueries, performance optimization). Experience with Python is a plus * Proficiency in Power BI, Tableau or Looker (dashboard creation, LookML preferred). * Hands-on experience with Segment, Shopify Plus, and Amplitude * A bachelor’s degree in Business, Analytics, Economics, Statistics, or related field (or equivalent experience) Our benefits: * Generous paid time off * 401k matching * Comprehensive health plans for you and your family * Supplemental mental health benefits * Monthly wellness reimbursement * Dog friendly offices * Employee Discount Program! Pay range: $155,000 - $182,000 annually Base pay is one part of the total rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, as well as a comprehensive benefits package. Please see our Privacy Policy here Compensation Range: $155K - $182K

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. We are currently seeking an experienced Manager- Data Management to join our team. If you are passionate about the life sciences industry and possess the skills to excel in this dynamic role, we invite you to join our team.You will play a crucial role in leading and managing operations for ongoing client engagements for our life sciences/pharma clients. You will be responsible for project leadership, team management, enhancing data processes, and managing client relationships. This position requires a blend of leadership, analytical expertise, and industry knowledge.We'll trust you to: • Provide project leadership for team members regarding ongoing operations, process improvements, planned approaches for client requests, or transition of new deliverables., • Oversee and develop proposals to ensure methodological soundness; consistently deliver quality client services and drive high-quality work products within expected timeframes and on budget., • Support project execution and delivery as needed to ensure project success., • Build and plan out complex enhancements to reports, online tools, and data processes., • Serve as a subject matter expert on current industry trends and analytical best practices in the life sciences industry., • Direct the activities of data processing and analytics teams that produce hundreds of high-touch reports and analyses, including executive dashboards, field reports, triggered alerts, and scorecards., • Frequently utilize coding to facilitate data processing, analytics, and reporting., • Grow external client engagements, owning the relationship between the client and the firm., • Identify areas for firm growth and create action plans to incorporate across the company, including the development of new offerings, improvements to best practice guidelines, or creating new firm practice areas to better serve clients., • Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes; manage project finances by maintaining financial summaries, drafting SOWs for new work, and sending client invoices., • Lead and motivate diverse and global teams; train and mentor team members to assist in their professional growth., • Foster an innovative and inclusive team-oriented work environment., • Bachelor's or advanced degree with at least 8 years of relevant professional experience., • Experience in the life sciences/pharma industry., • Strong understanding of Pharma commercial functions, specifically: Data Management, Data warehousing, MDM, Commercial Analytics, and BI/Reporting., • Coding skills (SAS, Python, SQL, etc.) and experience working with data visualization software such as Tableau or Power BI., • MDM Reltio, • Proficiency in using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required., • Advanced analytical and problem-solving skills., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective leadership, people management, and project management skills., • Experience as a team leader or people manager. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits:Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. Equal Opportunity EmployerWe are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone—we absorb the world's content and help our members listen to it on the go, at their own speed, with tools that make learning easier, deeper, and faster. Or, put another way: what Spotify has done for audio entertainment we're doing for audio information. And whatever we're doing seems to be working: we're #1 in our category, profitable, and have hockey-stick growth. With that growth comes the need for a Software Engineer, Platform to join our newly formed Platform team and help us scale our infrastructure, optimize the performance of key product flows and build end-to-end systems. This is a key role and ideal for someone who thinks strategically, enjoys high-pace environments, passionate about owning product decisions and has experience building and scaling complex engineering systems. Some of the things you'll do: • Build, own and report on the performance of complex end-to-end systems, • Actively participate in product decisions and refining the product roadmap, • Experience. You've played a crucial role in building and maintaining of large scale products and have worked both backend and frontend, • Systems thinking. You know how to think high level about end-to-end systems involving multiple products, 3rd party services etc, • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Not looking but know someone ideal for the role? Refer them! We'll send you (really good) chocolate if we make the hire.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Frontend Software Engineer to define how people experience Collate. The work you do will translate cutting-edge AI into tools that feel simple, reliable, and human — even in the complex world of healthcare. From the very beginning, your fingerprints will be on the product experiences that doctors, patients, and researchers depend on. Collate is a very Frontend heavy enterprise workflow application that is AI native (think Cursor). Customers need to trust the data we present to them and that means providing a high quality, clear and reliable interface to that data. You’ll be designing the layer where life-changing technology meets real people, in moments that matter to real patient outcomes. Modern Tech Stack Collate uses modern TypeScript, React, and Tailwind CSS for frontend development. We use Next.js for progressive application rendering on the server and client. AI & ML code is written in Python, and Go is used for scalable web backend services.What You’ll Do • Build responsive, performant web applications that make complex AI-driven healthcare data simple, accessible and usable., • Collaborate closely with design, product, and backend engineers to bring ideas from concept to production. Own your own testing, own releasing software to production and monitor its life., • Create reusable components and frontend infrastructure that scales with the team and product. New challenges arrive daily, always think ahead of the current designs., • Obsess over details of interaction (create delight), accessibility (all people need access!), and performance (if it’s slow, it’s a no-go) to deliver seamless user experiences., • Shape the look, feel, and usability of Collate’s products at a formative stage in the company’s journey. (high quality products need interfaces that are equally high quality to shine)

Job DescriptionThis position can be 100% remote, but must be located in the United States. Dynavax is a commercial-stage biopharmaceutical company developing and commercializing novel vaccines to help protect the world against infectious diseases. We operate with the highest level of quality, integrity and safety for the betterment of public health. Our proprietary CpG 1018 adjuvant powers our diversified infectious vaccine portfolio, which includes HEPLISAV-B®, our commercial product approved in the U.S. and the European Union, for prevention of hepatitis B virus in adults. We also supply CpG 1018 to research collaborations and partnerships globally. Currently, CpG 1018 is being used in development of COVID-19, plague, shingles, and Tdap vaccines. At Dynavax, our vision and work ethic are guided by the collective ideals underpinning our core values, and these form the basis of our dynamic company culture. We strive to maintain a culture where each employee is valued by the organization and where our organization is valued by each employee. We offer a highly flexible work environment for our headquarter employees where individuals work remotely and gather for in-person meetings when necessary. Dynavax is headquartered in the San Francisco Bay area, and our manufacturing facility is in Düsseldorf, Germany. We are seeking an experienced Senior Director of Data and AI Architecture to lead our strategic data architecture initiatives across the Dynavax enterprise. This role will be instrumental in designing and implementing a robust data ecosystem that supports business-wide processes, with a focus on Data and AI enablement, and digital transformation. They will play a key role in our strategic cloud migration initiative, helping transform our enterprise data architecture into a modern, cloud-native ecosystem.Responsibilities • Central accountability to implement responsible Data and AI practices that comply with evolving regulations (e.g. GDPR; EU AI Act or Industry standards) and Dynavax ethical principles., • Lead efforts to streamline our data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the organization., • Build an AI-ready data foundation that allows us to leverage machine learning and artificial intelligence to enhance business decision-making across all domains., • As a member of the Dynavax Data and AI committee this position will play an important role in advising the Committee on AI solutions, investments and benefit analysis (e.g. ROI)., • Work collaboratively across the business and IT and demonstrate excellent communication and stakeholder management skills., • Help improve data and AI Literacy across the organization.Qualifications, • Bachelor’s degree in computer science, engineering, or related technical field. Master's degree preferred., • 8+ years of experience in enterprise data architecture or systems design., • Strong knowledge of AI operating model and data governance, lineage, and metadata management principles., • Ability/experience to establish data governance councils, stewardship, and quality frameworks., • Proven experience with large-scale data migration projects and cloud transformation., • Deep understanding of enterprise architecture frameworks and methodologies., • Familiarity with data operability standards (HL7/FHIR; CDISC; OMOP)., • Strong technical background in database platforms (Databricks; Snowflake; Amazon Redshift)., • Understanding of cloud architecture principles (AWS preferred)., • Enterprise systems architecture., • AWS and cloud technologies., • Data modeling and design., • Data lineage and governance tools., • ETL/ELT processes., • Big data and analytics platforms., • Financial risk systems and methodologies., • Programming knowledge (Python, SQL, etc.)., • DevOps and CI/CD principles., • Knowledge graph and semantic web technologies., • Machine learning operations (MLOps)., • AI-focused data catalog tools., • Schema registry and metadata management systems., • Feature store architecture for machine learning., • Ability to influence executives and translate complex technical concepts for non-technical stakeholders., • Ability to sit for prolonged periods; reach with arms and hands; lift and move small objects; use hands to keyboard and perform other office related tasks including repetitive movement of the wrists, hands and/or fingers., • Life Sciences/Pharma/Biotech experience preferred., • Cloud platform certifications (AWS Certified Solutions Architect)., • Enterprise Architecture certifications (TOGAF, Zachman)., • Data Management certifications (CDMP, DAMA)., • Project/Program Management certifications (PMP, Prince2, Agile/Scrum)., • AI/ML certifications or specialized training.

Job DescriptionAbout Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About the Role Sprinter Health delivers free, in-home care to some of the most underserved communities in the country. The Growth Engineering team is responsible for getting patients to actually use that care—by reaching them, educating them, and making it easy to book. Today, most appointments are booked through outbound phone outreach. Your mandate is to help us evolve that into a true product-led motion by bringing booking directly into the core product and scaling how we engage patients. This is a role where the impact is tangible—you’re building the systems that determine whether someone gets care or goes without. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed.What you will do: • Design and ship experiments that drive patient bookings — from message copy tests and outreach timing to new in-product booking flows, • Optimize multi-channel engagement across SMS, phone, email, and mail to reach patients who typically don’t schedule care, • Run rapid brainstorms and sizing exercises to prioritize the next set of growth bets, • Define and monitor funnel metrics to understand drop-off, activation, and conversion, • Share insights through clear reporting and experiment reviews with cross-functional partners, • Test unconventional tactics (like door-knocking pilots) and simulate outreach volume to match clinical supply and demandWhat have you done:, • Spent 3+ years as a software engineer, including 1–2 years on a growth or experimentation-focused team, • Built and iterated on backend systems that power experimentation, messaging, funnels, or activation flows, • Shipped and measured experiments that moved core metrics like activation, conversion, retention, or booking, • Used data to identify drop-offs, size opportunities, and prioritize what to build next, • Collaborated with product, design, data, or ops to turn insights into shipped features, • Balanced speed and impact in a startup or high-growth environmentWhat gives you an edge:, • You’ve shipped experiments that directly moved activation, conversion, or booking metrics, • You’re comfortable owning the full loop — sizing, building, launching, and measuring, • You’ve worked on products where growth is driven through the product, not just outbound channels, • You move fast with data, scrappy tooling, and lightweight experiments, • You’ve operated in high-ambiguity, zero-to-one, or PLG environments where playbooks didn’t existOur tech stack:, • Typescript, Python, • AWS Amplify stack (AppSync, DynamoDB, Lambda, CloudFormation), • BigQuery, OpenSearch / ElasticSearch, • Looker, Kibana, • Statsig, • GraphQL, • Node.js, • React Native, React Native for WebWhat we offer, • Meaningful pre-IPO equity, • Medical, dental, and vision plans 100% paid for you and your dependents, • Flexible PTO + 10 paid holidays per year, • 401(k) with match, • 16-week parental leave policy for birthing parent, 8 weeks for all other parents, • HSA + FSA contributions, • Life insurance, plus short and long-term disability coverage, • Free daily lunch in-office, • Annual learning stipendThe Interview Process, • We aim to complete the interview process between 2-3 weeks. It will usually consist of:, • Recruiter Screen (30-Minutes), • Hiring Manager Introduction (30-Minutes), • Technical Assessment (45-Minutes), • Onsite Interview: Systems Design - Growth Focused + Behavioral Interview + Lunch with the Team (3-hours)

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 X 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 $190,000-240,000 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 At Dealpath, we're powering the digital transformation of real estate investment management. Our platform is the command center for some of the world's most respected investment managers, and quality is core to how we deliver exceptional value to our users. As we scale, we're looking for a Senior SDET to shape the future of test automation and release reliability—while mentoring and enabling others to do the same. As a Senior SDET, you'll be a quality champion who ensures our software is reliable, scalable, and high-performing. You'll own and evolve our test automation frameworks, work closely with our manual QA team, and play a pivotal role in our release cycles. Your contributions will directly impact mission-critical workflows used by institutional investors worldwide. You'll also be a key bridge between QA and engineering, supporting developers in building testable, automated code, and driving a quality-first mindset across the product lifecycle. What You'll Do • Lead Automation Strategy: Own and enhance our end-to-end and integration automation frameworks to support robust, scalable test coverage across web, API, and backend services., • Mentor & Support QA: Serve as a technical mentor to manual QA testers, helping them level up through automation adoption, test case design, and tooling best practices., • Release Confidence: Collaborate with product and engineering to validate and sign off on high-impact features and releases., • Enable Developer Efficiency: Partner with engineers to embed quality at the source—consulting on test design, helping instrument pipelines, and integrating automated checks into CI/CD., • Explore & Innovate: Constantly evaluate new tools, libraries, and approaches to keep our test infrastructure ahead of the curve., • Quality Evangelism: Drive initiatives to embed a culture of engineering excellence and accountability for quality across teams.Tech Stack You'll Work With, • Languages: JavaScript/TypeScript, Python, • Frameworks: Selenium WebDriver, • Medical, dental, & vision insurance coverage, • Hybrid 3 days in office policy, • Flexible Spending Account, • Paid Parental Leave, • 401(k), • Company sponsored commuter benefits, • Flexible time off policy, • Catered lunches and snacks, • The estimated base pay range for California candidates for this position is $140,000 - $150,000., • Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process., • There may be flexibility with compensation based on experience and interview performance., • This position is also eligible for Dealpath's equity plan and variable compensation., • Your actual compensation will be confirmed in writing at the time of offer. Dealpath is the world's largest and most trusted real estate investment management platform. To date, Dealpath has powered over $10 trillion in transactions in partnership with hundreds of firms, from leading global institutions including Blackstone, Nuveen, LaSalle, CBRE IM, and MetLife to lean mid-market and regional organizations. Dealpath drives investment performance by uniting data, insights, and execution in a platform purpose-built for real estate, giving firms the tools they need to operate with speed and precision and unlock opportunity in a dynamic and competitive landscape where information reigns supreme. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture - we'd love to meet you!

Job DescriptionAbout Encord At Encord, we're building the data infrastructure for AI applications. The biggest challenge companies building models face today is data quantity and quality. For most teams, this crucial step is both the most costly and time consuming. We’re here to change that. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. Backed by $50M in funding from top investors like CRV and Y Combinator, we have big plans ahead and are looking for an exceptional US founding engineer to lead our efforts. The role As a Founding Engineer, you will be kicking off our engineering operations in San Francisco. You’ll be responsible for all development and support for our US operations and will be building across the technical stack and taking holistic ownership of product development. About You Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack. You enjoy problem solving and think from first principles. Operate at speed: You’re always looking to accelerate without compromising on quality.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a metric by a tenth of a percent.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you.Are experienced: You have seen a lot and built a lot. You have hands-on developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own rightImpact: Your work will have a direct and multiplicative impact on the entire company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: We work autonomously on projects, make decisions, and drive our work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. Technology stack We are technology agnostic at Encord. We use Python and Typescript across our codebase and technologies like Postgres, Clickhouse, Pytorch and Ray. We lean into boring technology. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer

Job DescriptionAbout Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date from investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About the Role We’re hiring a Senior Software Engineer to join our Logistics Optimization team, where we tackle some of the hardest algorithmic and operational problems in healthcare. You’ll design systems that balance clinician supply, patient demand, and routing efficiency—essentially the logistics backbone of Sprinter’s in-home care delivery model. This is a deeply technical, high-impact role where you’ll work on problems at the intersection of operations research, simulation, and scalable distributed systems. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed.What will you do: • Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale, • Build simulations that model demand, capacity, and patient behavior under real-world constraints, • Develop predictive models for cancellations, no-shows, and overbooking optimization, • Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems, • Prototype and productionize forecasting and optimization models in a distributed environment, • Own projects end-to-end—from design to implementation and iterationWhat you have done:, • 5+ years of software engineering experience with strong backend or full-stack fundamentals, • Proficiency in JavaScript / TypeScript (preferred) and/or Python, • Experience designing or implementing optimization, forecasting, or simulation systems, • Background in operations research, applied math, or quantitative modeling, • Shipped production systems that balance technical complexity and real-world constraints, • Collaborated cross-functionally with product, ops, or data science teams to drive measurable impactWhat gives you an edge:, • Experience with global optimization techniques or Monte Carlo simulations, • Background in logistics, scheduling, or large-scale routing systems, • Prior work in healthcare or other operationally complex, data-heavy environments, • Experience in 0→1 environments or scaling early-stage technical systems, • You’re motivated by solving real problems that improve access to careOur tech stack:, • TypeScript / Node.js, • Python, • GraphQL, • AWS Amplify Stack (AppSync, DynamoDB, Lambda, CloudFormation), • BigQuery, Elasticsearch / OpenSearch, • Looker, Kibana, • Forecasting, simulation, and optimization frameworks, • Custom route annealing and distributed scheduling modelsWhat we offer:, • Meaningful pre-IPO equity, • Competitive salary aligned with senior engineering levels, • Medical, dental, and vision fully covered for you and your dependents, • Flexible PTO + 10 paid holidays, • 401(k) with company match, • 16-week parental leave (8 weeks for partners), • HSA / FSA contributions, • Life, short-term, and long-term disability coverage, • Free daily lunch in-office, • Annual learning stipendThe interview process, • We aim to complete the process within 2–3 weeks. It typically includes:, • Recruiter Screen (30 minutes), • Hiring Manager Conversation (30 minutes), • Technical Assessment — algorithms, systems design, or applied problem solving (45 minutes), • Onsite Interview (3 hours) - Systems Design (optimization / logistics-focused) + Behavioral Interview + Lunch with the team

Job DescriptionBuild the context + orchestration layer for AI‑first revenue software Why Revic AI Revic is solving the biggest challenge companies face, growing revenue. Revenue teams squander great engineering because they prioritize or execute poorly. We’re tackling this by using AI agents that are built on top of our collective revenue memory. We’re connecting messy, real‑world data into context that AI agents can learn from and act on autonomously. The goal: replace meta‑work with action that compounds revenue per rep—less digging through data and dashboards, more time moving pipeline. If you’re entrepreneurial and want to help define what AI‑native software looks like—how data becomes context, how agents plan and act, and how “chat” turns into outcomes—you’ll like building here. We ship in tight loops, learn in public, and measure by customer impact. Backed by SYN Ventures, we're working with high growth cyber security and medtech customers like BigID and Modern Health. Our team are product and engineering veterans from Salesforce, 6sense, Databook, Endgame, and Pitchbook; plus our board and advisors bring deep expertise from MIT, Symantec, DoD, Asana, RSA, Cylance, JPMC. If this work gets you excited—and you want to leave a mark—let’s talk. What you’ll do * Build the collective memory: Unify data from many sources (public, CRM and far beyond) into a semi‑structured context graph that captures what leads to winning deals—modeled at multiple levels. * Orchestrate agentic systems: Design planner/executor patterns, tools, and policies (including MCP‑style interfaces) that turn context into content and then into actions. Define simple eval harnesses to measure quality. * Deliver where users work: Expose capabilities through native surfaces (apps, chat, and integrations) in tight loops with product and GTM—reducing context switches and meta‑work. * Prove outcomes: With product and customers, define success metrics (e.g. tasks auto‑completed, adoption/retention, pipeline lift; keep latency in check) and wire observability so we can ship → learn → iterate quickly. * Balance cost & reliability: Tune accuracy, latency, and cost for agent runs and retrieval; design fallbacks and safeguards that keep the system dependable under real‑world load. What you’ll bring * Owner/builder mindset with product taste — you frame problems, choose the simplest path, and own outcomes. * 4+ years building & owning backend/platform systems end-to-end, with 0→1 wins and measurable business impact. * Curious by default; comfortable taking smart risks and turning fuzzy problems into shipped outcomes. * You talk in terms of impact and trade-offs; decide with ~70% info; turn ambiguity into simple, testable systems. * Experience stitching messy, multi‑source data into something a product can reason over; strong instincts for reliability, privacy, and multi‑tenant boundaries. * Able to hit the ground running with LLMs, Python and handling cloud infrastructure. * Nice to have: exposure to agent orchestration/planning, retrieval/graph‑shaped context, eval frameworks, and distributed systems at scale. How we work * Outcome‑first: We anchor on the seller’s job; stay close to customers; success = adoption, pipeline quality, time‑to‑value. * Ship small, learn fast: Start simple; instrument; iterate with “sniff tests.” * High trust, high ownership: Own problems end‑to‑end and make product‑level decisions with the team. Our stack We build with: Python, FastAPI/GraphQL, PostgreSQL/DynamoDB, AWS, Kubernetes, Pulumi, Spark/Databricks, and event‑driven architectures; React for product surfaces. Familiarity helps, but isn’t required. Logistics & offer * Equity: meaningful ownership in a fast-growing company * Benefits: health, dental, vision * Location: Hybrid San Francisco, New York City, Vancouver — 3 days in‑office, 2 remote * Team: small, senior; big surface area and ownership