Lead Safety Engineer Jobs

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is looking for an experienced Engineering Manager to lead our Feed Ecosystems team. In this role, you’ll lead a high-impact team of Machine Learning Engineers focused on building recommendation systems that support sustainable growth across users, posts, and communities. Your team will improve relevance for new, low-signal, and logged-out users; help new posts and communities find the right audiences; and develop ML systems that balance personalization, discovery, and ecosystem quality across Reddit’s 100,000+ active communities. If applying ML / AI in production to improve Reddit Relevance and strengthen Reddit’s community ecosystem excites you, then you’ve found the right place. Responsibilities: Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Ecosystems, aligning recommender-system investments with Reddit’s goals around user growth, contribution, community health, and high-quality discovery. Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact. Cross-Functional Partnership: Work closely with product, design, data science, safety, community, ads, and platform partners to identify opportunities, set expectations, and communicate your team’s work. Technical Execution & Delivery: Oversee the design, development, and optimization of ML systems that improve cold-start relevance, new post and community distribution, community discovery, and feed quality. Quality & E

About the Team The legal industry team works with law firms, in-house legal departments, legal technology companies, and other members of the legal ecosystem to understand how AI can support serious professional work. The team collaborates across Product, Research, Engineering, Design, Go-to-Market, Partnerships, Safety, Security, and Legal. We believe the strongest progress in legal will be built with the ecosystem. Our goal is to help customers and partners use OpenAI's capabilities in ways that are useful, trustworthy, and complementary to the products, expertise, and relationships that already serve the field. About the Role As a Product Manager you will help lead OpenAI's work with the legal industry. This is a high-ownership, hands-on role for someone who can turn incomplete information into clear priorities and shipped work. We’re looking for people who will spend time with customers and partners, work closely with researchers, engineers, designers, and operators, and keep complex work moving across teams. You will have meaningful ownership, but your success will depend as much on collaboration, follow-through, and judgment as on strategy. Success will depend on detailed, behind-the-scenes work in a fast-moving environment that can sometimes be chaotic. The right person will work very hard, get their hands dirty, and stay calm when the path is unclear. The work is also important and substantive: you will help shape how powerful technology is used in a consequential profession. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Turn customer, partner, market, and model evidence into a clear product strategy and roadmap for OpenAI’s work with the legal industry—including what to build, what not to build, and where ecosystem partners should lead. Define requirements and take products from early concept through real-world use and iteration.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description As a RAM Selection Equipment Manager, you will lead and manage a team of equipment engineers to oversees the installation, modification, upgrade and maintenance of manufacturing equipment. Study equipment performance, reliability, upgrades and safety issues. Establish programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process, and provide technical support to the manufacturing equipment repair and process engineering organizations. As Section Leader, you will also partake in the selection, development, and sustainability of a high-value workforce. Responsibilities and Tasks 1. Forecast and budget on equipment upkeep cost and any other related expenditures. Drive improvement activities to reduce equipment upkeep costs. 2. Develop system or procedure to ensure first time success in PM, effective troubleshooting that result in low MTTR and spare cost. 3. Work closely with Process and Manufacturing Managers to address equipment constraint issues. 4. Establish and monitor supplier performance metrics to drive quality and cost improvements. Develop a good working relationship with suppliers. 5. Set performance expectation for employees and have regular review to keep track of performance. Clearly define responsibility and develop empowerment in the group. Jointly work with employees to develop their career path. 6. To provide support and adequate resources to ensure compliance with Environmental, Health, S

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You will be part of an engineer-first TPM team as a Technical Program Manager for Compute Infrastructure who owns the end-to-end delivery of large-scale GPU clusters, partnering with engineers to bring clusters online across external providers and partners. You’ll run a broad, parallel portfolio spanning hardware, networking, power, and cooling—driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference. Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths. Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams. Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale. Partner with engineering to improve cluster turn-up reliability, repeatability, and automation

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS. Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan. Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts. Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE). Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision. Proficient in analyze information and develop innovative solutions to programming and data analysis challenges; Support the point of contact (POC) of programming with statisticians for statistical input and analysis interpretation Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiative. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams. Review draft and final production deliverables for project to ensure quality and consistency. Skills and Qualifications: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines. Minimum of 4+ years of clinical programming experience, along with 1+ year of project management and 1+ year of people management experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clini

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM,specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) Create electronic submission packages to FDA, e.g., define.xml or define.pdf following FDA guidelines with no supervision. Expert-level in analyze information and develop innovative solutions to programming and data analysis challenges; Serve as point of contact (POC) of programming with statisticians for statistical input and analysis interpretation; Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiatives. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams; Review draft and final production deliverables for project to ensure quality and consistency. Work with global team or sponsors to coordinate project deliverables, timelines and resources. Skills and Responsibilities: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 5+years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Expert-level in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Expert level in applying concept in Artificial Intelligence and Machine Learning in real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical tria

OVERVIEW Starting wage is based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. Construction Resources offers additional competitive and non-financial benefits. The Lead Fireplace Installer is responsible supervising and executing the installation of natural and engineered stone in both interior and exterior applications. The role ensures high-quality craftsmanship, compliance with safety and building codes, and coordination with other trades to meet project deadlines. JOB DESCRIPTION Responsibilities: Lead the installation of stone materials on construction projects. Read and interpret architectural drawings, layout plans, and shop drawings. Prepare and level surfaces for stone installation; oversee cutting, shaping, and fitting of stone. Supervise and train installers. Ensure alignment, leveling, grouting, sealing, and finishing of installed stone meets aesthetic and technical standards. Coordinate with suppliers, designers, and other trades to ensure material availability and correct execution. Inspect completed work for accuracy, durability, and compliance. Enforce site safety practices and conduct safety briefings. Maintain daily reports, track material usage, and assist in project documentation. Continue education to ensure current with latest regulations, safety initiatives, and overall awareness of products. Assist in warehouse related tasks when necessary. Basic Qualifications: 3-5 years’ experience in stone installation or masonry work. Familiarity with operating cutting tools, grinders, polishers, and lifting equipment. In-depth knowledge of stone materials, adhesives, and sealants. Organized and detail oriented. Excellent problem-solving skills. Strong customer service background. Strong leadership and team management skills. Preferred Qualifications: Trade certification in tiling or stone installation. Experience with large-scale commercial or luxury residential p

Senior Superintendent – Healthcare Construction Location: San Francisco Bay Area Industry: Commercial Construction (Healthcare Focus) Type: Full-Time | Level: Senior Lead with Purpose. Build for Impact. At Dome Construction , we believe that building healthcare spaces is about more than just steel and concrete — it’s about protecting lives, enabling healing, and fostering hope . As a Senior Superintendent , you’ll take the lead on technically demanding healthcare projects that require precision, compassion, and deep expertise. From active hospital renovations to outpatient improvements and complex medical equipment installations, your leadership will help us deliver environments where safety and care come first — for patients, providers, and everyone on-site. 🏥 Your Role In this high-impact position, you’ll oversee the full lifecycle of large-scale healthcare construction projects — ensuring quality execution, regulatory compliance, and team success across the board. You’ll be the strategic field leader who sets the tone on-site, mentors emerging talent, and keeps everyone aligned and informed — from project kickoff to final handover. 🔧 What You’ll Do Lead field operations on complex, multi-stakeholder healthcare projects Ensure full compliance with OSHPD/HCAI , Cal/OSHA , ADA , and ICRA/ILSM protocols Act as the primary field liaison for clients, inspectors, and trade partners Mentor and coach superintendents, foremen, and field engineers to elevate performance Develop and maintain clear project schedules using Microsoft Project Proactively manage job site risks, challenges, and evolving field conditions Oversee logistics, materials, crew coordination, and safe work planning Champion Dome’s strong safety culture — always leading by example Drive quality assurance from foundation through final closeout 🧱 What You Bring 10+ years of field leadership experience in commercial construction Minimum of 5 years leading healthcare construction pr

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role As the Product Manager Airspace & Autonomy for DoorDash Air’s Airspace and Autonomy capabilities, you will own the end-to-end product strategy for the software, services, autonomy, perception, human interfaces and related capabilities required to deploy autonomous drone delivery at scale. You will connect DoorDash’s order and logistics platform with the aircraft, autonomy stack, mission-planning services, UTM capabilities, fleet-management tools, and operator workflows that execute each delivery. You will define how an order moves from merchant readiness through dispatch, airspace validation, autonomous flight, delivery, and completion within the broader DoorDash marketplace, ensuring that new features align to DoorDash Air’s roadmap across teams while balancing execution timelines against technical debt. You will lead product direction across autonomy, aviation software, services, hardware, systems engineering, flight operations, UTM, safety, regulatory, data, and DoorDash platform teams. You will work closely with the Head of UTM and senior En

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development Set goals and run performance reviews that drive growth and output Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: use case scoping building technical champions running POCs Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI Guide customers through EMEA-specific technical and proc

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that transform patients' lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally. Role Summary Pfizer’s Machine Learning and Computational Sciences (MLCS) group is seeking a Senior Machine Learning Scientist to lead independent and collaborative research in computational antibody design and optimization. This position focuses on developing and applying modern computational and machine-learning approaches to accelerate the discovery of next-generation biologic therapeutics. Positioned at the intersection of machine learning, protein science, and therapeutic discovery, the role is ideal for candidates eager to translate foundational AI research into real-world drug design. It offers the opportunity to join an innovative, collaborative environment that supports professional growth through mentorship, knowledge sharing, and the freedom to pursue impactful science. What You Will Achieve In this role, you will: Conduct original research in computational antibody engineering, with an emphasis on sequence- and structure-based generative modeling. Develop and deploy state-of-the-art machine-learning methods for multi-objective, constraint-aware antibody optimization that balances affinity, stability, and developability. Apply proprietary computational frameworks and machine-learning models to predict antibody developability and affinity. Leverage NGS-derived antibody repertoires to info

Senior Manager, Production Control / Material Management Company: The Boeing Company The Boeing Company is seeking a Senior Manager, Production Control / Material Management to lead and manage production control and material management activities in support of manufacturing operations to support the Boeing Defense Space & Security (BDS) Production Control & Materials Management team in Titusville, FL. This position is responsible for ensuring the effective planning, coordination, and flow of materials to meet production schedules, operational objectives, and customer commitments. The selected candidate will provide leadership to a team responsible for inventory management, material availability, shortage resolution, production scheduling support, and cross-functional coordination across manufacturing, supply chain, quality, engineering, and program management organizations. Manages, develops and motivates employees and first-level managers. The successful candidate will provide input on departmental business and technical strategies, goals, objectives. Position Responsibilities: Builds a positive and inclusive team environment creating a culture of integrity, safety, quality and performance Highly focused sense of urgency required, responding to all escalation issues raised by internal and external customers, stakeholders, peers, and direct reports Ensure daily execution of statement of work, measuring team performance against KPIs (People, Safety, Quality, Delivery, and Cost) Understand inventory management and control as a key element for the business to meet targets; work with team to manage processes and accountability for inventory holdings and reduction efforts Und

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead Director, Technology Product Management for Medicare Claims is accountable for shaping the strategy, roadmap, performance, and modernization of the technology products and platforms that support claims administration for more than 4 million Medicare members. As the organization transitions to a product operating model, this leader will help establish and mature the product structure, practices, accountabilities, and cross-functional ways of working needed to improve claims accuracy, automation, timeliness, reliability, compliance, and operating efficiency. The Lead Director will partner closely with business, engineering, data, architecture, operations, and delivery leaders, as well as strategic software vendor partners, to translate claims, regulatory, operational, and technology needs into prioritized investments, aligned roadmaps, and measurable outcomes across a complex enterprise ecosystem. Given the significant role of vendor-provided platforms in the claims product, this leader will influence vendor roadmaps, align modernization priorities, manage critical dependencies, partner with release management on complex releases, and hold internal and external partners accountable for product performance and business outcomes. This role also leads and develops product management colleagues, strengthens product capabilities, and helps teams evolv

POSITION SUMMARY: Performs histological preparations for Signatera Whole Exome/Genome Sequencing PRIMARY RESPONSIBILITIES: • Perform histological preparations for the tissue whole exome sequencing laboratory with little to no errors • Duties may include but not limited to: preparation of tissues, stained slides, microdissection, and supporting workflow tasks • May independently perform testing, reagent and equipment preparation after completion of training and competency. • Participates in validations • Performs qualifications of reagents • Monitors and performs case management; ensures all cases are processed within department TAT goals and investigates sample processing issues • Actively participate in EH&S initiatives such as safety audits • Participates in updating and creating Standard Operating Procedures • May serve as a general supervisor (Depending on education and years of experience) and perform competencies • Trains staff on department procedures • Participates in Projects and initiatives initiated by the department/external departments • May serve as a general supervisor (Depending on education and years of experience) and perform competencies • Extensive knowledge in equipment and process troubleshooting • Document all corrective actions taken when test systems deviate from the established performance specifications as needed. Escalates protocol deviation to lead/supervisor. • Provides general oversight of personnel and the daily operations in the lab. Provides guidance to new team members • Engages with external departments such as Engineering, Biodev, Stats to resolve issues • May work with leaders of the department to streamline processes. QUALIFICATIONS: • A bachelor's, or higher, degree in a histotechnician program OR A bachelor's, or higher, degree in one of the chemical, or biological sciences, including a combination of thirty (30) hours in biology and chemistry; and, either one of the following conditions:-one year of experien