Education jobs in Daly City, California - Page 2Create job alerts

Client: Medical Device Details: • 6-Month contract with potential FTE conversion, • 40-Hours per-week, on-site Responsibilities: • Provide high-level executive support, including managing complex calendars, coordinating meetings, travel, and events, and preparing presentations and correspondence, • Act as a liaison between executives and internal/external stakeholders, ensuring clear communication and efficient coordination, • Support strategic priorities by tracking deliverables, managing timelines, and assisting with board, investor, and leadership meeting logistics, • Oversee office operations, including reception duties, guest management, communications, mail distribution, and maintaining a professional front office environment, • Coordinate administrative functions such as onboarding/offboarding support, office supply management, and meeting logistics including room setup and refreshments Requirements: • Associate’s degree required (Bachelor’s preferred) with 5+ years of administrative and/or office management experience, including executive support, • Advanced proficiency in Microsoft Office Suite, Zoom/Teams, and general office technologies; experience with financial systems or ERP tools is a plus, • Strong organizational, time management, and multitasking skills with the ability to prioritize effectively in a fast-paced environment, • Excellent written and verbal communication skills, with a high level of discretion and professionalism when handling confidential information

Global Pharmaceutical Company | Hybrid — Weekly On-Site Required The Opportunity A global pharmaceutical company is looking for a Director of Clinical Data Management to lead data operations across a growing clinical portfolio. This is a hands-on leadership role with a hybrid schedule that includes required weekly on-site presence. Candidates must be able to commute to site on a weekly basis — remote-only arrangements will not be considered. What You'll Own • End-to-end CDM accountability across Phase I–III studies, from database design through database lock, • Build, manage, and develop a high-performing CDM team, • Drive CRF design, data validation specifications, edit check development, and data management planning, • Oversee CRO and CDM vendor performance — scope, timelines, quality, and escalation, • Lead CDISC/CDASH standards implementation and ensure consistency across the portfolio, • Serve as the CDM functional lead on cross-functional study teams alongside Biostatistics, Clinical Operations, and Regulatory, • Ensure inspection readiness across all active studies; represent CDM in regulatory audits as needed, • Partner with IT and systems teams on EDC platform management and optimization What We're Looking For • 10+ years of clinical data management experience in pharma, biotech, or CRO settings, • 4+ years leading or managing CDM teams, • Proven track record across multiple concurrent global trials, Phase I through III, • Strong EDC platform experience (Medidata Rave or equivalent), • CDISC standards expertise — CDASH required, SDTM familiarity expected, • Experience with multi-CRO oversight and risk-based monitoring models, • Regulatory inspection experience (FDA, EMA, or equivalent) preferred, • Direct communicator with the credibility to engage senior cross-functional stakeholders Education Bachelor's degree in a life sciences or related field required. Advanced degree a plus. CCDM certification viewed favorably. Location & Schedule Hybrid schedule with weekly on-site presence required. Candidates must reside within commuting distance or be open to relocation.

Entry Level Commercial Legal Analyst | Leading AI Company| San Francisco, CA | Hybrid Full-Time Contract — 6 Months | Start: July 2026| $65/hr About the Role A leading AI company is hiring a Commercial Legal Analyst to join their in-house legal team on a full-time, 6-month contract basis. This is a hands-on opportunity built for early-career candidates and upcoming or recent graduates who are seriously considering law school and want real legal experience before they get there. You will work directly alongside experienced attorneys, get exposure to how a high-performing legal team operates, and build a foundation that will strengthen both your law school application and your long-term legal career. What You Will Do • Support attorneys with contract review, drafting, and processing across NDAs, vendor agreements, and strategic partnerships, • Track negotiations, summarize issues, and keep contracts moving to completion, • Partner with internal teams across Sales, Finance, Marketing, and Research on day-to-day legal workflows, • Help build, maintain, and improve legal templates, processes, and knowledge resources, • Conduct research, manage documentation, and support internal legal operations, • Escalate non-standard or judgment-heavy issues to attorneys as appropriate Who This Is For • Recent graduates or upcoming graduates (class of 2025 or 2026) with a B.A. or B.S., • Early-career candidates with up to 3 years of experience who are on a pre-law track, • Strong writers with excellent attention to detail and organizational skills, • Curious, coachable, and motivated by long-term growth in the legal field Nice to have: any exposure to legal, contracts, compliance, policy, or research through internships, coursework, or campus involvement. Compensation and Details • Pay: $65/hr, • Location: San Francisco, CA (Hybrid), • Duration: Full-time, 6-month contract, • Start date: July 2026 (flexible to accommodate graduation timelines) Why This Opportunity • Direct mentorship from experienced attorneys at one of the most recognized companies in technology, • Meaningful exposure to commercial legal work at the intersection of AI, business, and law, • A strong resume asset and practical foundation for law school applications, • Full-time hours with a competitive hourly rate

Kadence is partnered with an exciting and innovative Quantum AI company in the Bay Area, working with cutting-edge technology and operating at the intersection of artificial intelligence and next-generation computing. The Role As a Research Engineer, you will act as a bridge between theoretical research and real-world implementation. You’ll partner with scientists and researchers to translate early-stage ideas into scalable, high-performance systems. Your work will focus on building the tools, infrastructure, and optimized implementations that enable rapid experimentation and accelerate the pace of innovation across the team. Location: San Francisco Bay Area Key Responsibilities Research & Algorithm Enablement • Translate research concepts and algorithms into efficient, production-quality code, • Build reusable components and libraries to support ongoing research efforts, • Develop frameworks that allow rapid prototyping and iteration of new ideas, • Design and implement training pipelines for advanced and hybrid ML models, • Optimize model performance across training and inference workflows, • Apply numerical methods and optimization techniques to support model development, • Develop high-performance computing solutions, particularly leveraging GPUs, • Improve efficiency, scalability, and reliability of compute-intensive workloads, • Support distributed systems and large-scale experimentation environments, • Build tools that connect high-level algorithms to underlying execution systems What We’re Looking For • Experience building shared infrastructure, frameworks, or tools used by technical teams, • Strong ability to interpret research papers and implement them effectively, • Solid understanding of performance optimization in compute-heavy systems, • Practical approach to software engineering, including testing and iteration, • Proficiency with PyTorch, JAX, or similar ML frameworks, • Experience with GPU programming (e.g., CUDA or equivalent), • Background in numerical computing, optimization, or scientific computing, • Familiarity with large-scale ML systems or research environments, • Strong foundation in mathematics (linear algebra, probability, algorithms), • Exposure to compilers, low-level systems, or performance-critical infrastructure is a plus Why Join This role offers the opportunity to work on highly complex, forward-looking problems that push the boundaries of AI and computing. You’ll play a key role in enabling breakthroughs by turning ideas into systems that scale. What’s Offered • Competitive salary and equity package, • Comprehensive health and wellness benefits, • Flexible PTO and supportive work culture, • Visa sponsorship available where applicable, • Collaborative, mission-driven team environment Comp • $200,000 - $240,000 base, plus equity and benefits

About Polymath Polymath is an applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world’s leading model labs to push the frontier of agent capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other incredible investors & angels. We've raised an $8M seed, and are growing out our founding team. About the role We’re hiring a Member of Technical Staff - Engineering to build the infrastructure and systems that power our environment simulation products. You’ll work on the technical foundation that makes it possible to train and evaluate autonomous agents in complex, realistic environments. You’ll be a member of the founding team and should expect to wear multiple hats. While this role is engineering-leaning, we’re looking for people who are energized by hard technical problems and excited to operate at the intersection between engineering and research. Examples of projects you could work on include: • Developing an advanced environment simulation engine for training & evaluating autonomous AI agents, • Building scalable infrastructure to run thousands of simulation environments in parallel, • Optimizing the performance of complex, stateful simulation environments, • Tooling to collect data at scale, and improve environment and task creation processes, • Publishing research You’ll be a good fit if you: • Have strong engineering fundamentals and are a prolific user of AI tools, • Have experience with infrastructure, containerization, and networking, • Have experience with large scale distributed systems and data systems Perks: • 🪷 Comprehensive health, dental, and vision insurance, • 🏦 401(k), • 🌎 Unlimited PTO, • 🍽 Free meals with the team, • 🧘 Wellness stipend & learning stipend, • 💻 Top of the line tech, • 🌁 Frequent team activities and outings Culture: • Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents., • We have a flat organizational structure. We believe that people do their best work when they’re self-motivated and driven by a desire to learn, contribute to the team’s goals, and advance scientific progress., • We’re looking for folks who ship fast, set high standards for themselves, and are great team players. You’ll be a member of our founding team: have fun, learn a lot, and do high-impact work alongside great people.

No prior coaching or competitive running experience is required. We’re looking for one more assistant coach to join the Terra Linda High School Track & Cross Country program. Interested or curious? Please message me directly here on LinkedIn. That’s the easiest way to start the conversation. If you come from a background in sports, fitness, strength training, swimming, water polo, triathlon, yoga, cycling, physical therapy or simply love working with athletes, we can teach you the rest. This is a stipend-based, community coaching role — best suited for someone local who already has a primary job and wants to be part of something meaningful. You’ll work alongside an experienced head coach, have flexible scheduling, and help guide motivated high school athletes as they grow not just as runners, but as people. Over the past year we’ve taken a modest program and turned it into something special, and we’re committed to continuing that growth with the right people around us. You don’t need to have all the answers. You just need energy, curiosity, good communication, and a genuine interest in helping young athletes build confidence and a lifelong love of movement. Again, if this sounds interesting — or even if you’re just curious — please message me directly here on LinkedIn. That’s the easiest way to start the conversation, and I’m always happy to begin with a simple chat.

About Polymath Polymath is an applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world’s leading model labs to push the frontier of agent capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other incredible investors & angels. We've raised an $8M seed, and are growing out our founding team. About the role We’re hiring a Member of Technical Staff - Research to help advance the frontier of autonomous agents. You’ll work on core research problems in long-horizon evaluation, agent post-training, and environment design, with a focus on understanding where current models fail and how to improve them. As a member of the founding team, you should expect to wear multiple hats: building benchmarks, shaping environments, writing production code, and running rigorous experiments. We’re looking for people who are excited by hard open-ended problems and want to operate at the intersection of research and engineering. Examples of projects you could work on include: • Developing an advanced environment simulation engine for training & evaluating autonomous AI agents, • Developing state of the art benchmarks that challenge frontier models, • Post-training agents in complex simulation environments, • Publishing research You’ll be a good fit if you: • Have strong engineering & research fundamentals and are a prolific user of AI tools, • Have experience post-training frontier models, • Have experience shipping reliable, production-quality code, • Have a track record of publications Perks: • 🪷 Comprehensive health, dental, and vision insurance, • 🏦 401(k), • 🌎 Unlimited PTO, • 🍽 Free meals with the team, • 🧘 Wellness stipend & learning stipend, • 💻 Top of the line tech, • 🌁 Frequent team activities and outings Culture: • Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents., • We have a flat organizational structure. We believe that people do their best work when they’re self-motivated and driven by a desire to learn, contribute to the team’s goals, and advance scientific progress., • We’re looking for folks who ship fast, set high standards for themselves, and are great team players. You’ll be a member of our founding team: have fun, learn a lot, and do high-impact work alongside great people.

Work Schedule: Monday - Friday, Normal Business Hours Hybrid Minimum role qualifications requirement: • 5 years of experience in an applied research setting, or similar., • Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys, etc.)., • Relevant product research experience, either in an end-to-end, usability, or generative setting.

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Master Scheduler The Master Scheduler is the creator and owner of the Astranis production schedule across all programs, and the leader of the Production Control function. You will be responsible for developing and maintaining plans that push the limits of what is possible but are still achievable, gaining buy-in from key stakeholders, and working with company leadership and production resources to execute them. The ideal candidate must be able to filter a complex schedule of thousands of lines into simple targets that people can understand, navigate under-constrained problems with large data sets and converge on a path forward, stay aware of the status of many things and spot problems before they occur, and possess excellent verbal and written communication skills. If you are the ultimate organizer, can juggle 10 things at once with ease, walk into a room with many different opinions and out of that room with one clear shared goal, and have a passion for ruthless execution and improvement - this might be the role for you! Role • Develop and maintain detailed resource-loaded schedules for multiple simultaneous satellite production and launch programs, including flight hardware, R&D hardware, tooling, and test equipment., • Work closely with the production leadership team to develop and execute realistic but aggressive plans, and with the engineering program management team to integrate these schedules into end-to-end programmatic schedules., • Derive and communicate clear targets and priorities for every piece of hardware to the relevant production workcenters, and work with production managers to ensure appropriate allocation of resources, schedule accuracy and on-time delivery., • Steer a team of production coordinators in an indirect reporting/matrix org structure to ensure correct prioritization on a daily basis and ensure on-time material movement through the factory., • Identify and report on the critical path schedule issues, and work with company leadership and internal partners to drive actions and decisions to enable continued progress., • Perform quick “what if” schedule modeling and analyses on multiple possible outcomes to help make decisions on emergent risks., • Create, maintain, and use scheduling processes and tools to identify, analyze, and act on potential constraints on a daily/weekly basis., • Work with software and procurement teams to implement and maintain a Material Requirements Planning (MRP) system, ensuring data accuracy., • Constantly communicate schedule status and changes to key stakeholders across the business, in written reports, meetings/presentations, and in automated fashion using dashboards and other tools. Requirements • Bachelor’s degree in an engineering or similar technical discipline, or 5+ years of professional work in the aerospace industry., • 2+ years of professional experience as an integrated master scheduler of medium- to large-sized (>2000 lines) projects, including creating resource-loaded schedules. Bonus • Experience with Smartsheet or MS Project scheduling software., • Proficiency in SQL query writing, and ability to create custom dashboards in Grafana/Tableau/PowerBI/etc., • Experienced in planning and scheduling using ERP/MRP software systems., • Understanding of the aerospace engineering lifecycle., • Understanding of spacecraft assembly, integration, and test methods. What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. Base Salary $150,000 - $180,000 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

Remote contract for PhDs in Biology, Biotechnology, Biochemistry, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced biology questions to test AI performance., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics. Requirements: • PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field., • Strong biology reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

We are seeking a talented and dynamic individual with extensive oligonucleotide experience to join our team as a Scientist/Senior Scientist. This role offers a significant opportunity to impact our science and pipeline by leading the design and synthesis of novel oligonucleotides for drug discovery programs. The successful candidate will be a technical leader, guiding a dedicated team and taking on responsibilities across the portfolio. This is a 12-month contract based in South San Francisco, CA. Responsibilities • Demonstrated ability to both lead and support multiple parallel projects and thrive in highly collaborative team environments., • Lead the design, synthesis, and characterization of novel oligonucleotides for various portfolio programs., • Provide mentorship to junior scientists in the synthesis and characterization of new oligonucleotide sequences., • Serve as a leader or active participant in cross-disciplinary discussions to ensure effective execution of portfolio programs., • Collaborate with biology and biochemistry teams to design and execute novel assays, facilitating rapid go/no-go decisions., • Take a leading role in managing all aspects of laboratory instrumentation and maintaining smooth operations., • Maintain a strong collaborative mindset and demonstrate excellent written and verbal communication skills. Qualifications • Must have attained a Masters Degree or higher in required majors Chemistry, biochemistry, chemical biology, or related fields., • Extensive hands-on experience in the synthesis, purification, and analytics of siRNA and/or ASO therapeutics., • In-depth knowledge of oligonucleotide/peptide therapeutics, including chemical structure search tools, synthesis techniques, purification instrumentation, and analysis methods for chemically modified oligonucleotides. Salary • $130,832-$173,324 Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: • Medical insurance – PPO, HMO & HSA, • Dental & Vision insurance, • 401k plan, • Employee Assistance Program, • Long-term disability, • Weekly payroll, • Expense reimbursement, • Online timecard approval R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview: Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics. Requirements: • PhD (pursuing or completed) in Physics, Applied Physics, or a related field., • Strong physics reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Senior Firmware Engineer (Hardware Systems & Data) Thrively is partnering with a very well-funded, early-stage deep tech company building a completely new class of systems at the intersection of hardware, data, and physical processes. This is not a typical embedded firmware role. You’ll be the second firmware engineer on the team, working on how data moves through a complex, real-world system, owning the behavior across hardware, firmware, and data pipelines. Why this is interesting: • Backed by $100M+ in funding from top-tier investors, • Building novel systems that combine physical processes with modern data infrastructure, • Small, high-caliber team where engineers have real ownership, • Greenfield opportunity to shape system architecture from the ground up What you’ll work on • Design and build firmware that orchestrates data flow through a physical system, • Own end-to-end system behavior across hardware, embedded software, and compute layers, • Develop high-performance data pipelines (capture → buffer → transform → move), • Work closely with hardware teams on system bring-up, debugging, and validation, • Identify and resolve real-world system bottlenecks (latency, throughput, reliability) What we’re looking for We’re looking for engineers who think in systems, not just components. Strong candidates typically have: • 8–12+ years of experience in embedded/firmware engineering, • Strong C/C++ fundamentals, • Experience working at the hardware ↔ firmware boundary, • A track record of building or owning complex systems end-to-end, • Comfort debugging across multiple layers (hardware, firmware, system behavior), • Experience with data pipelines or high-throughput systems (e.g., video, sensors, signal processing), • Exposure to FPGA / RTL / hardware data paths, • Work on instrumentation, robotics, imaging, or other real-world systems, • Experience in early-stage or fast-moving environments This is NOT a fit if your background is primarily: • MCU/RTOS-only firmware (without broader system ownership), • IoT / BLE / connectivity-focused roles, • Automotive AUTOSAR stacks, • Pure BSP / driver-layer development

About Cosmic Frontier Cosmic Frontier’s mission is to dramatically expand access to high-performance space telescopes, democratize the scientific process, and build tools for exploring the Universe. Our team owns the full lifecycle of spaceflight hardware and software—from early architecture through flight. We build and fly real hardware, and the systems you design will go to orbit within the next two years. Role Description We’re hiring an experienced Telescope Systems Engineer to own the end-to-end architecture of our Telescope Assembly and keep the system technically coherent as designs evolve. This is a high-judgment, high-accountability role. You’ll make hard tradeoffs, keep performance budgets honest, and drive cross-discipline decisions to closure. You’ll spend real time with hardware—closing the loop between analysis, integration, and test—and you’ll be measured by whether the telescope works, not by the thickness of the documentation. You will serve as the technical backbone of the Telescope Assembly and ensure it meets required optical and pointing performance under realistic flight conditions (thermal, jitter, loads, and operations). What You’ll Do • Own telescope assembly performance end-to-end as the Cognizant Engineer, including optical performance, stability, and system-level behavior., • Drive decisions across disciplines (optics, optomechanical/structures, thermal, avionics/electronics, controls, firmware, software). Maintain the minimum set of requirements and interface definitions needed to move fast without breaking things., • Build and maintain system performance budgets with explicit margin policy and change control, including:, • Optical performance (e.g., WFE, PSF, EE, MTF as appropriate to requirements), • Stray light and scatter allocations and assumptions, • Line-of-sight stability and jitter allocations and dominant drivers, • Thermal stability and thermoelastic deformation allocations, • Telescope-assembly resource allocations (mass, power, data, timing) where they couple to performance, • Own closure of analysis and correlation (structural, thermal, optical, pointing): ensure assumptions are explicit, models are consistent, and results match measured data., • Own verification and integration planning for the Telescope Assembly: define milestones, convert them into a test matrix, and focus early tests on the highest risks., • Lead technical execution with suppliers and partners delivering critical telescope elements (optics fabrication, metrology/alignment GSE, mechanisms, analysis support). Define acceptance criteria, required data products, and verification methods., • Be hands-on when it matters: expect to be in the lab during integration and test phases (alignment, metrology, troubleshooting). What Success Looks Like in the First 90 Days You will deliver practical execution artifacts the team uses daily, including: • A v1 telescope assembly performance budget (optical + stability) with clear margin policy, top sensitivities, and the handful of interfaces that dominate outcomes., • A v1 resource budget and allocation table (mass, power, data, timing as relevant) with a simple process for keeping it honest through design changes., • A concrete verification plan and test matrix for the next integration milestone, including instrumentation lists, pass/fail criteria, procedures, and expected data products., • Experience taking a complex subsystem or assembly through integration and test, with the ability to describe what broke and how you fixed it., • 5–8+ years owning scope on complex aerospace or high-precision optical systems (space optical payloads strongly preferred)., • Demonstrated experience turning requirements into system performance budgets and maintaining them through design change., • Working understanding of image quality drivers, including line-of-sight jitter, and mitigation strategies (structure, control, actuation, sensing, isolation)., • Hands-on experience with metrology and alignment of high-precision optical systems, with a track record of closing discrepancies via model-to-test correlation., • Experience with low-vibration, high-stability optical systems, launch loads, and environmental qualification (vibe, TVAC, EMI as applicable)., • Familiarity with aerospace verification discipline and clean integration practices (contamination control, configuration management). We hire at the level that matches scope and ownership: • L4: $120,000 – $160,000 (owns major assembly budgets and interfaces under senior guidance), • Unlimited PTO, sick leave, parental leave, bereavement leave, • Medical, dental, vision, reproductive healthcare, HSA/FSA, life and disability insurance, One Medical, • 401(k), education benefits, cell phone and Wi-Fi reimbursement Due to the nature of the products and information handled in this role, employment is restricted to U.S. Persons as defined by U.S. export control laws. Diversity & Inclusion We encourage anyone excited about this role to apply, even if you don’t meet 100% of the qualifications. We value builders with strong judgment, high ownership, and a track record of making complex systems work in the real world. Recruiting, hiring, mentoring, and retaining a diverse workforce is critical to our success. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Cosmic Frontier Labs is a Program and Operating Division of the Renaissance Philanthropy Fund. Renaissance Philanthropy is an equal-opportunity employer committed to creating an inclusive environment for all employees.

Autism Spectrum Disorder can be inspired towards personal growth and to learn at their own pace.We are a specialized school licensed by the California Department of Education to serve students ages 5 to 22 with Autism Spectrum Disorder and similar developmental learning differences.We provide ongoin

Lead Electrical Power Systems Engineer - Power Electronics San Francisco Bay Area We are supporting an innovative space company seeking a Lead Electrical Power Systems Engineer to own the design and maturation of a high-voltage spacecraft electrical power system, approximately 400V. This is a technical leadership role responsible for end-to-end EPS architecture, from solar array interfaces through regulation, storage, distribution, protection, and system integration. Key Responsibilities: • Own the detailed architecture of a high-voltage spacecraft power system., • Define solar array regulation including S3R or MPPT, battery charge and discharge, bus regulation, and distribution strategies., • Lead DC-DC converter topology selection and design, including protection schemes and derating strategy., • Address high-voltage space environment risks including plasma interaction, insulation, grounding, and compliance with relevant standards., • Perform system-level fault analysis and FMEA, define safe-mode behaviors, and support integration with control systems and high-power payloads., • Define and execute verification, integration, and qualification strategy through PDR, CDR, and flight readiness. Required Experience: • 10+ years in power electronics and spacecraft EPS design., • Strong background in high-voltage DC systems, power conversion, and fault-tolerant distribution, • Experience delivering hardware from concept through test and qualification., • Experience designing for radiation environments and high-reliability aerospace systems. This is a high-impact opportunity to architect a mission-critical spacecraft power system in a fast-paced, technically rigorous environment.

Company Description Ignition Leadership is a selective leadership accelerator designed for ambitious early-career professionals who want to run real businesses, not just manage tasks. Through structured development, operational immersion, and high-accountability coaching, Ignition prepares high-potential leaders to take ownership of performance, teams, and financial outcomes. Graduates of the Ignition Manager in Training pathway are placed into leadership roles at Stress-Free Auto Care, a fast-growing, tech-forward automotive platform operating across multiple states. Ignition turns potential into operational leadership. Role Description This is a full-time, on-site leadership development role based in Northern California, Southern California, or Texas. As a Manager in Training (MIT), you will enter the Ignition Leadership pathway and be placed into operational leadership at Stress-Free Auto Care. From day one, you will learn how to run a modern, data-driven auto repair operation while developing the leadership skills required to manage teams and own financial performance. This is not a classroom program. It is hands-on business leadership. You will progress through a defined career path: • Year 1: Manager in Training → Assistant General Manager, • Year 2: General Manager (full P&L ownership), • Years 3–4: Senior General Manager (multi-location leadership), • Year 5+: District Manager (regional oversight) High performers advance quickly and take on significant operational responsibility. Responsibilities • Learn and execute all aspects of shop operations, • Lead technicians and service advisors, • Manage workflow, staffing, and daily performance, • Deliver exceptional customer experience, • Drive revenue and operational KPIs, • Use financial and operational data to improve performance, • Support hiring, coaching, and team development, • Transition into full P&L ownership as you advance Qualifications • Bachelor’s degree required, • 0–3 years of professional experience, • Strong leadership potential and ambition, • Excellent communication skills, • Analytical mindset with a bias toward action, • Comfortable in fast-paced, hands-on environments, • Willingness to relocate for advancement (preferred)

We are hiring a Senior Associate Scientist to review analytical data and electronic notebook entries for accuracy and adherence to SOPs. This is a fully remote part-time position with flexible working hours that requires strong organizational skills, clear communication, and a high level of attention to detail. This is a 12-month contract position offering 20-30 hours per week. Responsibilities • Review analytical assay data for adherence to SOPs and accuracy., • Review electronic notebook entries for completeness and accuracy., • Track shipping details for vendor-supplied samples., • Draft and update data analysis templates to reflect new and updated analytical methods and for continuous improvement., • Maintain organized records of review status of notebook entries and analytical data., • Contribute to reports, certificates, and other documentation supporting process development., • Collaborate effectively with team members and contribute to cross-functional activities. Qualifications • BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience., • At least 2 years of experience in an analytical development or quality control role., • Prior experience running colorimetric assays is required., • Prior experience with SEC-MALS is required., • Prior experience with SDS-PAGE is required., • Excellent attention to detail, organizational skills, and record-keeping abilities., • Ability to work both independently and collaboratively in a fast-paced environment., • Commitment to integrity, professionalism, and safety in all aspects of work. Pay • $56.00-$62.00/hr R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Ready to help train the robots of tomorrow? We'd love to connect with you! We prioritize candidates who submit their application via this link: About Physical Intelligence Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals, and organize your space. Picture robots in warehouses that can handle any package, or manufacturing robots that can adapt to new products without reprogramming. We're making this vision reality by developing general-purpose AI that can control robots to perform any physical task. Our team of engineers, scientists, and roboticists is creating foundation models—the same breakthrough technology behind ChatGPT—but for the physical world. Just as language models learned to understand and generate text from massive datasets, our robots learn to interact with the physical world through high-quality demonstration data. The Role: Powering the AI Revolution Data collection is the fuel that drives our mission. Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world. As a Robot Operator, you're not just controlling robots—you're literally training the AI that will power the next generation of intelligent machines. You'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need. Your precise demonstrations teach our AI everything from delicate manipulation tasks to complex multi-step processes. This is your chance to directly contribute to technology that will transform how robots help humans in homes, workplaces, and beyond. What You'll Do Primary Responsibilities • Teleoperate robotic arms through a variety of tasks using our intuitive control systems, • Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers, • Complete diverse tasks ranging from household activities like folding laundry to complex assembly work, • Maintain high standards for data quality and consistency across all demonstrations, • Meet established metrics for data collection volume and quality during your shift Important Note: This is a metrics-based role where you'll be expected to meet specific data collection goals throughout your shift. The work involves repetitive task execution, and the quality of data collection is extremely important to our AI training success. Training can watch some examples of this here: Example Tasks You'll Train Robots On • Picking up grocery items and placing them in shipping bags, • Sorting cups, plates, and utensils into bins, • Opening and closing jars of various sizes, • Folding different types of clothing and fabrics, • Installing light bulbs and other simple assembly tasks, • Multi-step electronics assembly processes Additional Duties • Review and annotate videos of robot task performances using computer interfaces, • Provide detailed feedback on robot performance and data quality, • Assist with equipment setup and basic office tasks as needed, • Participate in process improvements to enhance data collection efficiency Physical Requirements • Ability to stand at a workstation for 8-hour shifts, • Full use of both arms and hands for robot control, • Good hand-eye coordination and manual dexterity, • Attention to detail for quality control Work Environment & Schedule Shift Options (8 hours with 30-minute lunch + two paid breaks): • Morning: 7:00 AM - 3:30 PM PT, • Evening: 3:30 PM - 12:00 AM PT Commitment: Minimum 4 days per week, with preference for 5-day availability Compensation: $25/hour + benefits package What We're Looking For Ideal Background • Experience with hands-on technical work, lab environments, or precision tasks, • Interest in AI, robotics, and cutting-edge technology, • Strong attention to detail and quality focus Key Qualities • Meticulous attention to detail—data quality is crucial for AI training, • Good manual dexterity and hand-eye coordination, • Enjoys repetitive, precision-focused work, • Thrives in fast-paced, metrics-driven environments, • Excited about contributing to breakthrough AI research, • Collaborative mindset and strong work ethic Nice to Have • Experience with robotics systems or automation, • Background in manufacturing, assembly, or laboratory work, • Familiarity with AI/ML concepts, • Gaming or simulation experience with controllers Why This Role Matters You'll be part of the team building the foundation for general-purpose robotics AI. Every demonstration you provide directly impacts our ability to create robots that can help with household chores, assist in workplaces, and improve quality of life. This is a rare opportunity to work at the cutting edge of AI and robotics while developing valuable technical skills in a rapidly growing field.

Position located in San Francisco, CA Responsibilities: • Design and execute experiments in stem cell differentiation, organoid generation, and tissue engineering., • Innovate then execute experiments to generate and differentiate human stem cells, develop functional assays, assess and interpret experimental workflows, • Perform mammalian embryo dissections, tissue isolations, and culture experiments to study and model developmental processes., • Apply principles of developmental biology and embryology to guide tissue maturation and patterning., • Collaborate with biomaterials and engineering teams to integrate cells and tissues., • Develop and optimize protocols for reproducible tissue generation and maintenance., • Test novel stem cell culture conditions, sort, screen, expand and differentiate hiPSCs according to latest protocols and newly developed approaches. Requirements: • PhD in biological sciences, stem cell biology, genetics or related field., • 2+ years hands-on expertise in stem cell culture (iPSCs/ESCs)., • Hands-on experience with mammalian embryos, including dissections and culture., • Experience in molecular biology and strong problem solving skills.

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Senior Reliability Test Engineer As a Senior Reliability Test Engineer, you will be tasked with the unique challenge of working at the intersection of all engineering disciplines to ensure our hardware meets the highest level of quality and reliability. As Astranis scales up production of its satellites, we need to establish a robust reliability test program to aid in the development of new product designs, monitor manufacturing process health, and screen for long term reliability defects. The ideal candidate has extensive engineering experience working on high-reliability products, is self-driven and autonomous, and has the ability to build a reliability test program from the ground up. Role • Develop and implement reliability test strategies for new products to maximize field life and minimize early life failures, • Work closely with hardware and software engineering teams to maximize reliability across all disciplines, • Design and execute novel environmental, RF, mechanical, and electrical testing techniques tailored to the product and its functions, • Write test programs to exercise the functionality of the product over various conditions and environments, • Automate reliability test initiatives and reporting using proper data visualization techniques and thorough knowledge of the product and its functions, • Define the ongoing reliability testing strategy to monitor the manufacturing process health and screen for long-term reliability defects caused by process and component variability, • Root cause systemic production issues or failures found in test and drive design or process changes to meet long-term reliability goals Requirements • Bachelor’s degree in an engineering discipline, • 5+ years of experience in test, analysis, manufacturing, or hardware development, • Thorough understanding and experience in environmental testing such as HALT/HASS, thermal, vibration and TVAC, • Programming experience in Python, C and SQL with an emphasis on data analysis and automation, • Demonstrated capability to think creatively and solve complex problems with little to no supervision on schedule, • Thorough understanding of electronics reliability and failure mechanisms, • Demonstrated ability to work in a highly cross-functional role, • Must be onsite 5 days a week Bonus • Experience with both electronics and mechanical design and analysis including knowledge of RF principles, • Experience in a fast-paced, iterative design environment within the consumer electronics, medical devices, aerospace, marine, or automotive industries, • Demonstrated application of design or process validation and control methods such as DFMEA, PFMEA, design of experiments (DOE), and statistical process control (SPC), • Thorough understanding of electrical schematics and electronics manufacturing to analyze and improve test coverage, • Hands-on experience qualifying and maintaining manufacturing processes for electronics and/or mechanical assemblies, • Excellent communication skills, written and verbal. Ability to produce executive-level reports and presentations to efficiently convey information about large data sets What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company-subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(K) retirement, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. Base Salary $130,000 - $180,000 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

Overview: Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks accomplished Labor Relations Consultant. * Candidate must be authorized to work in USA without requiring sponsorship * *** Location: San Francisco, CA 94107 *** Duration: 26-week contract w/ possibility of extension Note: • Hybrid Role; 4 days a week onsite; 1 day remote. Description: • The Labor Relations Representative is responsible for establishing and maintaining effective labor-management relations across the organization. This role provides expert guidance on labor relations, employment law, and employee relations matters while ensuring compliance with applicable policies and regulations., • Key responsibilities include advising management on performance management, corrective actions, and labor relations strategies; interpreting and administering collective bargaining agreements; and supporting grievance resolution processes. The role actively participates in and leads labor negotiations, represents the organization in arbitration and dispute proceedings, and negotiates binding agreements with union representatives., • Additionally, the position conducts research and analysis on labor-related issues, develops recommendations for leadership, and collaborates with cross-functional stakeholders to mitigate risk and ensure compliance. The incumbent also investigates employee and union complaints, supports dispute resolution, and promotes proactive practices to minimize grievances and legal exposure. Qualifications: • Bachelor’s degree in a related field or equivalent combination of education and experience., • Minimum of 4+ years of experience in labor relations or employee relations., • Strong knowledge of labor and employment laws, policies, and regulations., • Demonstrated experience in labor negotiations and collective bargaining., • Ability to analyze complex issues and develop effective solutions., • Strong communication, problem-solving, and organizational skills., • Proven ability to handle sensitive or high-conflict situations professionally., • Experience interpreting and applying labor agreements and organizational policies. Preferred Skills (Nice to Have): • Experience in public sector or higher education environments., • Knowledge of organizational policies and procedures., • Experience representing organizations in arbitration or dispute resolution forums., • Advanced advocacy and negotiation skills., • Ability to lead training sessions on labor relations topics. I'd love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you. Satwinder “Sat” Singh Lead Technical Recruiter Company Overview: Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally; as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward. Amerit Consulting provides equal employment opportunities to all employees and applicants for employment 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state, and federal laws.

Comfort participating in remote, part-time studies. We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies. If the idea of getting paid to voice your opinions, test products, and contribute

No prior receptionist or typist experience required.

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Production Quality Engineer As a Production Quality Engineer at Astranis, you’ll play a key role in building high-reliability satellite hardware as we expand our manufacturing capabilities. You’ll work closely with engineering and production teams to solve complex quality challenges, lead root cause investigations, and help ensure our hardware meets the rigorous standards required for spaceflight. We’re looking for a hands-on engineer with experience in electronics or electro-mechanical hardware manufacturing, a proactive approach to problem-solving, and a strong track record of working effectively in dynamic environments. Role • Perform and support quality functions such as nonconformance resolution, first article inspection, root cause analysis, corrective actions, containments, statistical process control, etc., • Collaborate with design engineering teams to develop standards for part drawings, including identification of key characteristics, dimensioning and GD&T, and first article inspection plans for electro-mechanical assemblies., • Write and maintain quality management system (QMS) command media to govern how we design, build, and test hardware., • Perform process validation for new manufacturing processes in collaboration with production engineering., • Monitor key quality metrics such as product yield and in-process inspection results to help identify trends and areas for improvement., • Participate in quality reviews and audits to ensure adherence to process requirements and design intent., • Support process improvements that enhance manufacturability, reduce defects, or streamline production flow., • Contribute to the definition and enforcement of factory standards such as ESD handling and cleanliness requirements. Requirements • Bachelor's degree in a science or engineering discipline., • 3+ years of experience in a quality or manufacturing engineering role., • Experience with inspection techniques and basic GD&T principles., • Basic proficiency in Python or SQL for data analysis., • Familiarity with root cause analysis, corrective action, and basic quality tools (e.g., 5 Whys, Fishbone, Pareto)., • Strong communication skills and ability to work cross-functionally in a fast-paced environment. Bonus • Experience with CAD, PLM, or ERP systems such as Solidworks, Altium, and Arena., • Hands-on experience qualifying and maintaining manufacturing processes for electronics and/or mechanical assemblies., • Experience reviewing design documentation and implementing first-article inspection plans., • Strong SQL and Python skills, and demonstrated ability to manage large data sets and create useful tools/dashboards/reports for others., • Demonstrated application of process validation and control methods such as PFMEA, design of experiments (DOE), and statistical process control (SPC). What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company-subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(K) retirement, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. Base Salary $130,000 - $180,000 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Production Quality Inspector As a Production Quality Inspector, you are responsible for being the last line of defense in assuring mission success. You will work with the most cutting edge MicroGEO satellite technology and perform inspections in several workcenters to verify our hardware meets the highest level of quality. The ideal candidate is self-driven, extremely detail oriented, and seeks a highly cross functional dynamic environment. Responsibilities • Perform in-process inspection and final verification of flight hardware to drawing, process specifications, and work order requirements supporting multiple work centers (assembly, integration, wire harnessing, or test), • Identify, document, and verify resolution of production and test non-conformances in accordance with prescribed procedures and pursue corrective action as required, • Interface with engineering and production to communicate and help resolve nonconforming issues, • Independently perform inspections and verifications, documenting results in a clear, precise, and complete manner, • Support quality management system policies and procedure documentation, assess compliance to company and industry standards, initiate and lead continual improvement and lean manufacturing initiatives, • Perform other related duties, as assigned, for the purpose of ensuring an efficient and effective work environment Requirements • 3+ years of inspection experience in an aerospace, military or manufacturing environment, • Substantial knowledge of the control of nonconforming hardware, failure/root cause analysis, corrective and preventive action processes, • Experience reading and interpreting design drawings and CAD models, • Experience with performing electronic testing and inspection using portable measuring devices and lab equipment (microscopes, testers, scopes, etc), • Excellent communication (written and verbal) and teamwork skills, • Ability to work independently with a strong work ethic, be innovative, detail oriented, possess initiative, and team oriented, • Willing and able to work overtime and/or weekends as required Bonus • Associate degree or higher in quality, engineering, or related field, • Knowledgeable with ISO 9001/AS9100 quality management systems, • Experience inspecting solder, crimping, conformal coating, staking, and surface mounted devices in accordance with IPC-J-STD-001 or IPC-A-610 standards, • Wire harness experience in accordance with IPC-A-620 standards, • Six Sigma Yellow/Green Belt certified What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company-subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(K) retirement, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. Base Hourly Pay $35 - $45 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe— large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. PCBA Production Team Lead As the PCBA Production Team Lead you will lead the production strategy to establish and scale the internal PCBA production capabilities to meet our aggressive rate targets. You will work with the most cutting edge MicroGEO satellite technology and lead all PCBA assembly and test operations to achieve the highest levels of quality to ensure our hardware meets mission-critical requirements. Your responsibilities will span the full production lifecycle, including equipment and process selection, factory layout, capacity planning, staffing, new product introduction and collaboration with design engineering to champion design-for-manufacturability improvements. The ideal candidate is self-driven, extremely detail oriented, and thrives in a highly cross functional, dynamic environment while effectively mentoring and guiding others. If you are a proven PCBA production leader who thrives in a fast-paced total-ownership environment, and are ready for your next challenge - this role might be for you. Responsibilities • Lead a team of engineers, specialists, and technicians performing component and PCBA processes for dev and flight hardware to drawing, process specifications, and work order requirements through all phases of the product life cycle, • Interface with engineering, production, and supply chain to communicate and resolve nonconformances while ensuring timely escalation and pursuing corrective action as required, • Champion Design-for-Manufacturing (DFM) with design engineering to evaluate and influence hardware designs for manufacturability, • Develop and implement an effective, robust, and efficient production strategy to establish internal PCBA production capabilities that enable our factory rate targets, • Take direct ownership of the physical production layout, optimizing for material flow from receiving through all processes leading to the finished product, • Develop new processes, GSE, tooling, etc to support the production of new hardware designs, as well as continuous improvement of existing processes, • Create, maintain and communicate detailed schedules to ensure your team and other stakeholders are aware of milestones and deadlines, • Create metrics and tools to monitor production success such as product yield and on time delivery, • Create and enforce a culture of safety and quality throughout the workplace Requirements • Bachelor’s of Science in Mechanical Engineering, Electrical Engineering, or equivalent technical degree, • 5+ years of PCBA experience in an aerospace, military, or manufacturing environment, • 3+ years in a leadership or team lead capacity transitioning products from development to production, • Willing and able to work overtime and/or weekends as required Bonus • Experience in a fast-paced, iterative design or manufacturing environment within the aerospace, automotive, or consumer electronics industries, • Experience with the design and manufacturing of high reliability electronics, • Ability to develop and maintain high performing suppliers and contract manufacturers, • Experience transitioning products from design to manufacturing and scaling to high volume, • Experience implementing automation into production processes, • Experience with design of experiments, gauge repeatability and reproducibility, and process qualifications, • Experience working with and defining requirements for ERP, MRP and MES systems, • Knowledgeable with ISO 9001/AS9100 quality management systems What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company-subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(K) retirement, and free on-site catered meals. Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position. Base Salary $160,000 - $195,000 USD U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

Zef Scientific is a leader in multivendor maintenance and service solutions for LCMS and analytical instruments. Trusted by laboratories across biotech, pharma, and research, we provide fast, expert support that keeps science moving forward. Join our team and help drive innovation and operational excellence across North America’s laboratories. Job Overview We are seeking a results-driven Account Manager – Life Sciences to manage and grow relationships within an assigned territory. As the primary point of contact for your clients, you will drive service contract renewals, identify new business opportunities, and ensure exceptional customer satisfaction. This role collaborates closely with internal service, technical, and support teams to deliver tailored solutions that advance clients’ scientific and operational goals. Key Responsibilities • Develop and maintain strong, long-term relationships with clients across academic, clinical, hospital, pharmaceutical, biotechnology, and government laboratories., • Serve as the primary point of contact for assigned accounts, ensuring exceptional service and satisfaction., • Understand clients’ scientific and operational needs, proactively identifying opportunities to provide value and expand service offerings., • Prepare and present compelling proposals, service contract solutions, and performance reports to clients., • Negotiate contract terms, pricing, and agreements in alignment with company policies and client requirements., • Collaborate with internal teams—including sales, technical, and support—to ensure seamless service delivery., • Monitor account performance, track key metrics, and provide regular updates to management., • Attend industry events, conferences, and networking opportunities to represent Zef Scientific and expand your professional network., • Maintain accurate CRM records, including client interactions, contract status, and pipeline activities., • Analyze territory performance, customer needs, and competitive activity to refine strategies and support market growth. Required Skills & Qualifications • Bachelor’s degree in life sciences, business, or a related field (or equivalent professional experience)., • Minimum 3 years of experience in the life sciences industry, with 1–2 years in account management or sales (laboratory experience preferred)., • Proven ability to build and maintain client relationships at all levels., • Knowledge of LCMS instruments and laboratory workflows is a plus., • Strong communication, negotiation, analytical, and problem-solving skills., • Proficiency with Microsoft Office Suite and CRM systems., • Self-motivated, results-oriented, and able to work independently or as part of a team. Travel & Work Location • Up to 25% domestic and international travel as needed., • Location: Remote, San Francisco, CA-based (within 40-mile radius). Equal Opportunity Statement Zef Scientific is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

About the job Admera Health is seeking a Sales Executive to drive business expansion for our NGS services. ADMERA - Entering the ADvanced Molecular ERA Admera Health provides genomic and bioinformatic services supporting discovery through clinical research stages. Our services include solutions for genomics, transcriptomics, epigenomics, and bioinformatics. Admera has deep expertise working with single-cell, FFPE, custom panels, and difficult or low-input samples. Corporate Culture Attributes: Innovative Collaborative Energetic Accountable Results-oriented Customer-centric Admera offers competitive health and financial benefits. In addition, we offer professional development and learning opportunities, rewarding bonus programs, and a wide range of work-life benefits. Title: Sales Executive Department: Sales Location: Remote/Field; Bay Area–based (required) • Territory: Academia accounts across the Bay Area, academia + industrial accounts of Washington (WA), Oregon (OR), Nevada (NV), Idaho (ID), and Canada Responsibilities: • Drive new business and retain customer base while meeting sales targets., • Develop and maintain a thorough knowledge of the Next Generation Sequencing portfolio, research customer needs, and identify how our solutions can address those needs., • Ensure cross functional communication and alignment toward accomplishment of company goals., • Perform lead generation, account mapping, and identify decision-makers to sell effectively in a solution-oriented team selling approach., • Collaborate with others to identify and implement creative solutions to improve business performance. Qualifications: • Bachelor's Degree required in Life Sciences or Business Administration (a Master’s or Ph.D. degree in a Life Sciences related field is preferred or equivalent experience)., • At least 2+ years of NGS sales experience required, • Passionate about business results, with a strong sense of accountability, metrics, and ownership., • Proven leadership skills as a sales/business development professional in a fast-paced environment., • Proven and verifiable history of increasing revenues to meet benchmarks and company goals., • Strong understanding of Genomics and/or NGS experience., • Strong interpersonal skills, both written and verbal are essential., • Willing and able to travel overnight as required (up to 35% of the time)., • Must have a valid US driver’s license and proof of auto insurance for business purposes. Compensation • Salary Range Starting at: $80,000 annually (commensurate with experience and qualifications), • Commission: 20–30% of base salary, tied to performance and sales targets, • Health Benefits: Comprehensive health, dental, and vision coverage, • Retirement Benefits: 401(k) plan with company contribution, • Paid Time Off & Holidays: Generous PTO and holiday schedule, • Professional Development: Ongoing support and learning opportunities Equal Opportunity Employer Statement Admera Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. For more information, please visit . To review and apply to our open positions please visit .

ROLE AND RESPONSIBILITIES: • Define and lead drug product development strategy for Corvus’ programs., • Develop robust, scalable formulations and drug product manufacturing processes that ensure product quality., • Establish specifications and control strategies aligned with global regulatory and quality expectations., • Serve as a scientific and technical expert in formulation challenges for investigational drugs, • Oversee technical activities at drug product CMOs, including technology transfer, clinical trial material (CTM) production, process troubleshooting, QbD and PAR studies, risk assessments, registration batch production, and process validation, • Coordinate with Quality and Supply Chain teams to ensure timely manufacture and release of drug product lots by leading technical reviews of batch records, deviations, change controls, and nonconformance investigations; proactively identify and mitigate risks related to clinical supply, • Partner with Chemical Development and Analytical Development functions to define optimal drug substance properties and control strategies, • Ensure adherence to applicable regulations and guidelines, including FDA, EMA, ICH, GCP, and GMP, • Provide person-in-plant support for drug product manufacturing, • Serve as the drug product subject matter expert for internal program teams, due diligence activities, and CMO selection, management, and audits, • Author and review CMC sections of regulatory filings, including INDs, IMPD/IND amendments, and NDA/MAA submissions, • Coordinate with Analytical teams to ensure expiry and retest dating are current and aligned with drug product supply and commercialization plans, • Contribute to internal and external presentations and publications, • Manage, mentor, and develop scientists and engineers, • Writes and reviews manuscripts for publication., • Develops strategies to ensure effective achievement of scientific objectives., • Monitors and evaluates completion of tasks and projects., • May develop budgets for capital expenditures and labor., • Collaborates with other top managers to establish company policies., • Leads the selection, development and evaluation of personnel to ensure the efficient operation of the function., • Makes final decisions on administrative or operational matters and ensures operations are effective achievement of objectives., • Works on complex issues where analysis of situations or data requires an in-depth knowledge of the company and its objectives., • Ensures that budgets and schedules meet corporate timelines., • Must have strong negotiation skills with vendors and management to influence senior leaders regarding matters of significance to the organization., • Directs and controls the activities of a broad functional area through partnership with cross-functional department managers within the company. QUALIFICATIONS AND EDUCATION REQUIREMENTS • Ph.D. in Chemistry, Pharmaceutical Sciences, Engineering, or a related discipline with at least 10 years of late-phase, including NDA/MAA filing, small-molecule drug product development experience (M.S. with 15+ years considered), • Extensive experience in GMP oral solid dose manufacturing, including spray drying, granulation, hot melt extrusion, tableting, and encapsulation, • Demonstrated expertise in formulation development and manufacturing of enabled formulations, • Significant experience managing third-party drug product CMOs, including tech transfer, QbD studies, clinical supply production, registration batches, and commercial launch activities, • Strong understanding of product/packaging interactions, barrier properties, stability, global packaging regulations, and package testing, • In-depth knowledge of cGMP, ICH, FDA, and EMA requirements, • Proven ability to collaborate effectively across internal and external stakeholders, • Excellent written and verbal communication skills with strong problem-solving capabilities, • Ability to manage multiple priorities in a fast-paced environment and navigate complex technical challenges, • Willingness to travel domestically and internationally up to 25%, • Excellent teamwork and collaboration skills, • Able to build effective working relationships throughout the organization internally and externally to achieve goals., • Flexibility and willingness to solve problems that fall outside of immediate area of expertise, • Clear and concise verbal and written communication skills and strong organizational skills, with an exceptional attention to detail., • Work independently in an interdisciplinary, fast-paced, often changing environment., • Committed to the values of integrity, accountability, transparency, and drive., • Salary range: $200,000 to $250,000

As the Technical Sales Specialist , you’ll be responsible for building customer relationships, driving new business, and growing sales in the life sciences and microbiology space. You’ll own the microbiology and laboratory equipment portfolio with deal sizes from a few hundred dollars up to $60K, with sales cycles varying from weeks to years. This is an exciting opportunity to hit the ground running, take ownership of a high-potential territory across the West Coast, and play a pivotal role in the company’s growth. What You’ll Do: • Drive direct sales of microbiology and life sciences products across the West Coast (focus on BayArea)., • Build and maintain strong customer relationships within academia, research, and industry., • Leverage your technical knowledge to confidently present and sell microbiology solutions., • Develop and execute sales strategies that accelerate growth in the US market., • Travel 2–3 days per week to customer sites across the region., • Work independently while staying connected to the wider global team. What We’re Looking For: • Proven track record in technical sales within the life sciences / microbiology field., • A “road warrior” mentality — motivated by being in front of customers and closing business., • Strong technical acumen; able to speak the language of microbiology with confidence., • Well-networked across research, academia, and/or life science markets., • Independent, self-motivated, and results-driven., • Experience managing distributor relationships is a plus, but this role requires hands-on direct sales. Leadership & Culture: You’ll report directly to a highly experienced commercial leader who: • Empowers people with autonomy — not a micromanager., • Believes in work-life balance and values people as individuals., • Measures success through sales results and team growth., • Celebrates promotions and personal development as much as company wins. Compensation & Benefits: • Competitive base salary., • Uncapped commission structure (bonus ~1/3 of OTE)., • Quarterly pay., • 401k plan., • Clear career progression opportunities as the US business grows.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Therapeutic Behavioral Coach/Intensive Home-Based Services Coach Western Youth Services is a leading expert in children’s mental health and wellness solutions. As a hub of children’s mental health in Orange County, we’ve been providing services and programs for our community for over 50 years. Our passionate and dedicated staff deliver services and programs that prevent, treat and heal our kids and families and increase their ability to live full and productive lives. If this sounds like you, and you meet the qualifications for this position, please send us your resume. The TBS Coach/IHBS Coach, under the supervision of the Program Director or designee, delivers intensive, individualized, one-to-one mental health services to children and youth experiencing severe emotional challenges, as well as support to their families. This position works 30 hours per week, with afternoon and early evening hours. Responsibilities: • Collaborate with the multidisciplinary team to provide quality care for program clients. Works in collaboration with the multidisciplinary treatment teams to provide quality care to the clients of the program., • Participate in developing, implementing and coordinating individual treatment and behavioral plans that target improvements in peer, family, and community relationships., • Support parents in helping clients reach their goals and reduce frequency and intensity of target behaviors by practicing behavioral skills and generalizing rehabilitation services., • Stay informed of the overall client treatment plan and contribute directly to treatment planning, discharge planning and aftercare., • Travel required to community locations and client homes, as part of service delivery., • This position includes productivity expectations, with an average of 45% of the time worked dedicated to billable client services. Minimum Qualifications: • Bachelor’s degree in a mental health discipline or related field (Counseling, Psychology, Social Work, Human Services)., • Minimum two years’ experience in client-related services in mental health. May substitute 30 semester units in counseling, psychology, or social work for one year of experience., • Experience in case management and collaborative partnering preferred., • Knowledge of working with children and families required., • Familiarity with community resources, case management process, community outreach and program planning highly preferred., • Awareness and demonstration of sensitivity to diverse socioeconomic and multicultural backgrounds., • Commitment to WYS Diversity, Equity, and Inclusivity (DEI) initiatives., • Represent WYS with professionalism while working independently in field-based settings., • Computer literate with Microsoft Office Suite, Outlook, Word, and clinical database skills., • Valid driver’s license and reliable transportation required., • Bilingual ability in Spanish, Vietnamese, Farsi, Arabic or Korean strongly preferred. Salary: • $25.76 to $27.04 hourly (The actual salary may vary based on experience, equity, market, and agency considerations).

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

All locations Hartford, United States; New York, United States; San Francisco, United States; Location: Hartford, San Francisco, or New York City Job Description The Insure AI Underwriting team is an experienced business unit structuring risk-transfer solutions for corporates and start-up companies utilizing AI as part of their product, services, or processes. In particular, we seek to drive insurance for the uncertainty of machine learning model errors, including GenAI applications. Your focus will be on working with data science teams at corporates and start-ups to assess the quality of the implementation of the machine learning systems and estimate the probability of predictions falling short compared to the actual outcomes or quantify the hallucination rate of GenAI applications. In addition, you will build relationships with leading research institutions in the area of statistics and computer science, contribute to the team's research and academic publications, and you will keep the team up to date with the latest developments in the area of machine learning risk quantification, e.g. model error or hallucinations rate assessments, copyright infringement by GenAI models, and AI discrimination risk. We are looking for a Research Scientist who combines a strong background in statistics or computer science with a business oriented mindset to develop financial solutions for AI risk and who will help us shape Munich Re's future. The position can be based either in the Bay Area, or in New York City or Hartford, CT. Education and Experience • PhD degree in Statistics, Computer Science, Data Science or related fields, • Minimum of 5 years of relevant experience in a data scientist role with start-up companies or as part of a graduate degree in Statistics, Computer Science, Data Science or related fields Knowledge and Skills • Excellent understanding of modern machine learning and GenAI techniques, best practices in their implementation at scale and performance evaluation, • Excellent understanding of conformal prediction and other distribution-free uncertainty quantification approaches and their limitations, • Excellent networking and stakeholder management skills, • Excellent abstract reasoning and communication skills, • Ability to reduce complexity and communicate concisely the most important points of a deal opportunity to senior management, • Excellent project management skills, • Strong negotiation skills, • Strong ability to quickly understand new and complex business cases, • Good working proficiency in Python, or comparable programming languages, • Fluency in English is a must, fluency in German a plus, • Highly ambitious, entrepreneurial, and innovative mindset, curiosity and drive, • Didactic and intercultural competence, • Willingness to work in deal teams distributed across different time zones and continents We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. The Company is open to considering candidates in numerous locations, including California. The salary ranged posted below applies to the Company's Hartford, CT location. • The salary range for this position is $ 138,400 - $203,000, plus opportunity for company bonus. In addition, the company provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO)., • The salary estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. You will: • Collaborate closely with Robotics customers to drive the industry forward in using VLA data, • Develop ML pipelines to train/fine-tune models using Scale's data, • Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning, • Develop novel methods for evaluating VLA models, including new robotics industry benchmarks, • Partner with cross-functional stakeholders and Scale's customers to improve data collection, • Practical experience building training VLA models and/or building robotics data, • 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models, • PhD or equivalent experience in Machine Learning or Robotics, • A track record of published research in robotics, • Experience conducting data collection and performing evaluations, • Strong written and verbal communication skills and the ability to work with cross-functional teams and customers, • Experience working with robotics hardware platforms (robotic arms, perception systems, etc.), • Experience deploying machine learning models on robotic systems in the field About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We're looking for a Senior Applied Research Scientist to join Procore's AI & Frontier Models organization. In this role, you'll act as the handson technical leader for applied machine learning systems that extract spatial intelligence from construction drawings, BIM, and project data. The primary goal of this role is to design and deliver reliable, scalable ML systems that reduce design risk, improve constructability, and expand the range of spatial problems Procore teams can solve. As a Senior Applied Research Scientist, you'll partner with ML engineers, software engineers, product managers, and construction domain experts to lead daytoday technical execution for spatial intelligence initiatives. Use your expertise in applied machine learning, software architecture, and system design to translate complex, ambiguous problems into highquality production systems. This is an opportunity to remain deeply handson while shaping technical direction and raising the engineering bar for the team-join us and help define how spatial intelligence shows up in real construction workflows. Apply today. This role reports reports into the Manager, Software Engineering, and is based in our San Francisco office, supporting Procore's Datagrid AI Division. Given the collaborative and fast moving nature of this work, we are seeking candidates who are available to work onsite in a hybrid model at a minimum of 3 days per week. This is an immediate opening! What you'll do * Act as the daytoday technical lead for applied ML projects within the Frontier Models & Spatial Intelligence team. * Design, implement, and iterate on machine learning systems that analyze 2D drawings and BIM data to detect clashes, inconsistencies, and constructability risks. * Lead handson development of model training, evaluation, and inference pipelines in close collaboration with other engineers. * Drive proofofconcept and exploratory work to reduce ambiguity and rapidly validate technical approaches. * Ensure the longterm health, performance, and maintainability of the team's ML codebases and supporting systems. * Set and uphold engineering quality standards through code reviews, mentorship, and technical guidance. * Collaborate with partner teams to ensure spatial intelligence systems integrate cleanly into Procore's broader platform and workflows. * Proactively identify technical risks, architectural gaps, or operational concerns and address or escalate them appropriately. What we're looking for * Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience. * 5+ years of professional experience building production software systems, including applied machine learning components. * Strong experience designing, training, and deploying ML models using Python and modern ML frameworks. * Solid foundation in computer science fundamentals, including data structures, algorithms, and system design. * Experience working with complex or highdimensional data such as images, documents, or structured technical datasets. * Demonstrated ability to lead technically through direct contribution, mentorship, and architectural decisionmaking. * Strong systemlevel thinking, with an understanding of reliability, scalability, cost, and operational constraints. * Clear communication skills and the ability to explain technical decisions and tradeoffs to crossfunctional stakeholders. Nice to have experience with technologies such as: * ML & Data: PyTorch, TensorFlow, NumPy, Pandas, HuggingFace, selfsupervised or multimodal learning workflows * Computer Vision & Spatial Data: OpenCV, document understanding pipelines, geometric or graphbased representations, 2D/3D spatial reasoning * Data & Training Infrastructure: Distributed training, experiment tracking, dataset versioning, largescale annotation workflows * Backend & Systems: Pythonbased services, REST or gRPC APIs, batch and streaming data pipelines * Cloud & DevOps: Containerized ML services, Kubernetes, cloud compute and storage (AWS, GCP, or equivalent) * Quality & Operations: Model evaluation frameworks, monitoring and alerting, performance and cost optimization in production Base Pay Range: 194,672.00 - 267,674.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. Your work will address key questions related to global and emerging AI and biosecurity risks, understanding options for prevention and resilience, and examining their policy implications. You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the___report, which examined the current state of nucleic acid synthesis screening and offered recommendations for policymakers and industry leaders to further secure these technologies. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. In this role, you will apply quantitative and qualitative skills to rigorously analyze AI and biosecurity problems of national and international importance. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. In addition, successful applicants will have: * Experience in nucleic acid synthesis, AI-enabled biodesign, dual-use research of concern, potential pandemic pathogens, personal protective equipment, bioterrorism, or pathogen agnostic biosurveillance preferred. * Demonstrated knowledge and ability to analyze or implement policies involving strategy, doctrine, operations, tactics, systems or organization. * Ability for quantitative analysis and modeling, including modeling of uncertainty. * Experience in government, intelligence community, or other relevant decision-making offices preferred, but not required. * Ability to present evidence of research experience, demonstrated through authorship of academic publications, conference presentations, or prior professional reports. Education & Experience Requirements RAND is hiring multiple AI & Biosecurity Research Residents at the Associate, Specialist, and Expert levels of experience. Minimum education and experience requirements at the Associate level include: A PhD in Statistics, Biostatistics, Biology, Physics, Chemistry, Geology, or other natural and physical sciences is required - OR - PhD or equivalent in Policy Analysis or any technical discipline, Health Services Management, Public Health, Epidemiology or Business, with demonstrable proficiency in formal methods of decision support analysis is required. OR A Master's degree in the fields listed above with at least 3 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 5 years of relevant professional experience, is required. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. Writing Sample A writing sample of 3 pages or more is required for this position. Applicants are encouraged to use recent pieces that have been published in academic or other journals, but may use master's theses or papers written for coursework, prior employment, or internships. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: Biosecurity Resident, Associate = $126,400 - $183,300 Biosecurity Resident, Specialist = $145,600 - $227,600 Biosecurity Resident, Expert = $175,500 - $274,300 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We're looking for a Principal Applied Research Scientist to join Procore's AI & Frontier Models organization. In this role, you'll lead applied research and system development at the intersection of machine learning, spatial reasoning, and construction data to solve some of the industry's most complex and ambiguous problems. The primary goal of this role is to build defensible spatial intelligence capabilities that extract value from drawings, BIM, and site data today while laying the foundation for 3D understanding, autonomy, and robotics tomorrow. As a Principal Applied Research Scientist, you'll partner with ML engineers, software engineers, product leaders, and construction domain experts to design, prototype, and deploy frontier ML systems that translate research into measurable business outcomes. Use your expertise in applied machine learning, largescale data systems, and technical leadership to drive stepchange improvements in constructability, risk reduction, and operational efficiency. This is a rare opportunity to shape Procore's longterm technical direction in spatial intelligence while delivering nearterm ROI-join us and help define the future operating system of construction. Apply today. This role reports reports into the Manager, Software Engineering, and is based in our San Francisco office, supporting Procore's Datagrid AI Division. Given the collaborative and fast moving nature of this work, we are seeking candidates who are available to work onsite in a hybrid model at a minimum of 3 days per week. This is an immediate opening! * Lead the technical vision, design, and execution of applied research initiatives focused on spatial intelligence across 2D drawings, BIM, and site data. * Design, train, and evaluate machine learning models for constructability analysis, clash detection, and design risk identification. * Build highquality, proprietary annotated datasets and define data strategies that create longterm competitive advantage. * Translate ambiguous research problems into concrete system designs, proofs of concept, and productionready ML pipelines. * Partner closely with engineering and product teams to integrate research outputs into scalable, reliable systems. * Act as a technical SME for spatial intelligence, mentoring senior engineers and researchers across the organization. * Author and review technical documentation, white papers, and design proposals that shape Procore's AI strategy. * Proactively identify gaps in technical strategy and architecture, and independently drive solutions that improve system quality, robustness, and impact. * PhD or Master's degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field, or equivalent depth of practical experience. * 12+ years of experience (or equivalent depth) building and leading complex machine learning or software systems in production and/or applied research environments. * Demonstrated ability to set technical direction and independently lead highimpact initiatives across multiple teams or a significant business concern. * Deep expertise in applied machine learning, with a track record of translating research ideas into scalable, reliable systems that deliver measurable outcomes. * Strong foundation in computer science fundamentals, including algorithms, data structures, distributed systems, and system architecture. * Proven ability to operate effectively in highambiguity problem spaces, using data, experimentation, and proofofconcept work to create clarity and alignment. * Experience mentoring senior engineers and researchers, and serving as a technical authority and escalation point across an organization. * Excellent communication skills, with the ability to represent technical strategy, tradeoffs, and outcomes to senior leadership and crossfunctional stakeholders. Nice to have experience with technologies such as: * ML & Model Development: PyTorch, TensorFlow, largescale pretraining or finetuning workflows, multimodal or foundation models * Spatial Intelligence & Perception: Computer vision, document and diagram understanding, geometric or graphbased reasoning, 2D/3D representations * Data & Research Infrastructure: Largescale dataset creation and curation, annotation pipelines, distributed training, experiment management * Systems & Architecture: Designing and evolving MLpowered platforms and services, crossdomain integrations, reliability and performance at scale * Cloud & Compute: GPU/acceleratorbased training and inference, containerized systems, Kubernetes, cloud platforms (AWS, GCP, or equivalent) * Evaluation & Operations: Defining evaluation frameworks, model validation strategies, monitoring, and costaware optimization in production Base Pay Range: 253,552.00 - 348,634.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.