Advance Packaging Process Development Engineer Jobs

About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. Present executive-ready advance, defer, or stop recommendations with clear

This is an exciting opportunity to advance Natera’s regulated product portfolio of cutting-edge molecular diagnostic tests. As a Staff Biostatistician, you will leverage your strong applied statistics, IVD, and Clinical Research expertise to drive the strategy, design, analysis, and interpretation of clinical validation studies for kidney disease and other high-priority germline projects. PRIMARY RESPONSIBILITIES: Strategic Study Design and Analysis: Independently lead the design, analysis, and interpretation of clinical validation studies to support in vitro diagnostic approvals (e.g., CDx, 510(k), PMA, etc.) Regulatory Compliance: Ensure statistical methodologies and analyses meet the standards set by regulatory agencies such as FDA. Drive statistical interactions with regulatory authorities. Documentation and Reporting : Prepare comprehensive statistical analysis protocols (SAPs), reports, and presentations for cross-functional and external collaborators and stakeholders. Cross-Functional Leadership : Serve as the statistical lead on high-priority project teams. Partner with Clinical Science, Data Management, and Product teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams Clinical Research and Beyond: Drive design and execution of high-impact research clinical trials, studies, and publications that push the development of our world-class product portfolio Stay current with advancements in Biostatistics and clinical validation methodology, implementing innovative approaches to support diagnostic product development and regulatory submissions Mentor and provide technical supervision to junior team members QUALIFICATIONS: Education : Ph.D. or Master's degree in Biostatistics, Statistics, or a related field Experience : At least 8 years of relevant industry experience, preferably within molecular diagnostics, biotechnology,

This is an exciting opportunity to advance Natera’s regulated product portfolio of cutting-edge molecular diagnostic tests. As a Staff Biostatistician, you will leverage your strong applied statistics, IVD, and Clinical Research expertise to drive the strategy, design, analysis, and interpretation of clinical validation studies for kidney disease and other high-priority germline projects. PRIMARY RESPONSIBILITIES: Strategic Study Design and Analysis: Independently lead the design, analysis, and interpretation of clinical validation studies to support in vitro diagnostic approvals (e.g., CDx, 510(k), PMA, etc.) Regulatory Compliance: Ensure statistical methodologies and analyses meet the standards set by regulatory agencies such as FDA. Drive statistical interactions with regulatory authorities. Documentation and Reporting : Prepare comprehensive statistical analysis protocols (SAPs), reports, and presentations for cross-functional and external collaborators and stakeholders. Cross-Functional Leadership : Serve as the statistical lead on high-priority project teams. Partner with Clinical Science, Data Management, and Product teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams Clinical Research and Beyond: Drive design and execution of high-impact research clinical trials, studies, and publications that push the development of our world-class product portfolio Stay current with advancements in Biostatistics and clinical validation methodology, implementing innovative approaches to support diagnostic product development and regulatory submissions Mentor and provide technical supervision to junior team members QUALIFICATIONS: Education : Ph.D. or Master's degree in Biostatistics, Statistics, or a related field Experience : At least 8 years of relevant industry experience, preferably within molecular diagnostics, biotechnology,

About the Team Our team helps OpenAI advance data center development by connecting communications, permitting and community engagement. We work across the teams building these projects to bring community expertise and clear communication to practical development needs. About the Role We’re looking for a versatile communications and community engagement professional who can help move data center projects forward. You’ll combine community engagement with strong communication skills and experience in permitting and public meetings. This role calls for someone who can influence across organizational boundaries, build understanding among stakeholders and step into the work where they can be most useful. This position has a strong external focus, crafting and sharing our data center narrative with a strong impact on policy-making through advocacy and press stakeholder management. This position will also have a major impact on the way OpenAI is perceived by other players in the industry and by the wider public. In this role, you will: Partner with permitting and community-engagement teams to understand local concerns and support project progress. Support press and storytelling around community engagement projects in our local data center communities in partnership with our Community Engagement Leads. Help craft and scale our communication narrative around our operating principals as we scale our infrastructure footprint. Develop clear narratives and communications that explain projects, energy needs and policy positions to relevant stakeholders. Connect policy, communications and project teams so messages and actions reflect development needs. Build alignment across teams, influence decisions and help resolve issues that span policy, communications and development. Think creatively about communications and the channels used, working with the Public Affairs teams to deliver integrated execution of initiatives. Help shape energy policy approaches that support data center dev

JOB SUMMARY: Natera is seeking a Data Privacy Director to help advance and operationalize the enterprise privacy program across our commercial, clinical, and product environments. This is a broad, hands-on leadership role supporting the full range of the Privacy team's work — from privacy impact assessments and regulatory analysis to contract and legal privacy-focused reviews — with a strong business-enablement orientation. This role reports to the Vice President, Data Privacy and partners with cross-functional teams to embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. The Director may also provide guidance and mentorship to privacy team members and external resources supporting the program. The Director will also serve as a key integration point between Privacy and Product, embedding privacy-by-design into product and software development lifecycles and partnering with engineering to make privacy practical and scalable. In partnership with Medical Affairs, Clinical Operations, and Data Sciences (R&D), this leader will also enhance and maintain data governance frameworks that support clinical research initiatives and the responsible use of data for quality improvement and development activities. Together, these efforts will help strengthen Natera’s privacy program, building efficient, repeatable processes that expand team capacity while enabling responsible innovation and growth. Regarding culture, we seek people who demonstrate Natera's values, enjoy challenging problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Program Enablement Lead privacy impact assessments, regulatory analyses, and risk-based recommendations that balance compliance with business enablement Conduct privacy reviews of contracts and legal engagements, drafting recommendations for counsel review, alignment, and approval Apply a risk-based lens to enable business d

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Introduction to the Position MX is on a mission to improve the financial lives of everyone and, for this reason, we’re creating innovative software designed to bring financial freedom to the lives of individuals, families, and communities. Our products help consumers understand and manage their financial data, improve their financial decision-making, and strengthen connections between financial institutions and their customers. We believe that data are central to every important financial action and we’re looking for smart, driven, creative individuals to come build with us! The MX Product team is responsible for building world-class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Operational Analytics Team takes the lead on the company’s most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Product Analyst. As a Product Analyst, you’ll partner with colleagues from the Product and Analytics teams to complete a variety of computational activities, including analyzing c

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Job Summary We are looking for a strong program leader and strategic operator who can autonomously execute complex enterprise initiatives in a dynamic, fast-paced environment. You will wear multiple hats (Technical Program Manager, Agile Coach, Process Designer, Storyteller, and Systems Thinker) to drive critical Financial Product initiatives at MX while partnering with engineering and product leadership to align on high-impact outcomes and scalable architectures. From day one, you will influence both product strategy and technical execution to help us build and improve our platform while scaling the organization itself. You will bring expertise in best-in-class frameworks for work intake, prioritization, SDLC optimization, team management, and decision-making, along with the ability to navigate technical trade-offs, increase developer velocity, and create clarity across ambiguous problems. If you are a creative problem-solver with a passion for optimizing processes, scaling businesses through analytical and general management skills, and building through sane, compassionate collaboration, this role is for you. Responsibilities Program Leadership & Delivery: Communicate goals, roles, and outcomes; drive delivery on time, within scope, and on budget. Own performance, scalability, and reliability targets for releases. Manage multiple simultaneous initiatives with time-sensitive constraints. Demonstrate financi

We’re looking for a strategic operator to help advance OpenAI’s life sciences capabilities and translate them into meaningful scientific and commercial impact. Working closely with research teams and external partners, you’ll identify opportunities to improve AI models, products, and supporting infrastructure, and lead partnerships and strategic initiatives that bring these capabilities into real scientific workflows. This role combines partnership development, strategic judgment, and hands-on execution. You’ll help determine where OpenAI can make the greatest contribution, identify the expertise and resources needed, and bring together the right partners to move from an idea to demonstrated impact. In this role, you will: Shape capability priorities. Work with research and cross-functional teams to identify and prioritize new life sciences capabilities, balancing scientific value, technical feasibility, and commercial potential. Build and execute partnerships. Develop data, research, and commercial partnerships with biotechnology companies, pharmaceutical organizations, and other participants in the life sciences ecosystem. Translate capabilities into real-world applications. Partner with external organizations to apply OpenAI’s technology in scientific workflows, evaluate its usefulness, and use those learnings to inform further development. Structure effective collaborations. Work with legal, finance, research, and other teams to define partnership scope, align incentives, and navigate data access, intellectual property, commercial terms, and governance. Lead strategic initiatives. Identify and own projects that advance scientific capabilities and create long-term value for OpenAI, including licensing, joint development, and new applications of AI. Drive operational execution. Establish clear objectives, milestones, and ownership; coordinate resources; and resolve obstacles across internal teams and external partners. Expand access to expertise. Identify gaps in

About the Team The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities. In this role, you will: Research and implement methods for safety training, reinforcement learning, and adversarial robustness. Develop evaluations, identify model failure modes, and use findings to improve training. Work with research, engineering, security, and policy partners to support safe, reliable deployment. You might thrive in this role if you: Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness. Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills. Have experience improving model safety for deployment and enjoy collaborative research. Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements Active TS/SCI clearance or equivalent. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefi

About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. Support regulatory inquiries, audits and investigations with counsel, organizing ev

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques Implement preference optimization and personalization capabilities to enhance user experience Invent in-house improvements and optimizations to enhance SOTA models Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation Own full-stack data, training, and evaluation pipelines required for model development Build robust and effective training frameworks (on

Datadog is looking for a Social Media Manager to advance our social media program. This role sits at the intersection of content creation, strategy, and corporate communications — owning the day-to-day execution of Datadog's social presence while helping shape how social supports our broader comms and marketing mission. You'll report to our Senior Group Manager of Corporate Communications, while working in close partnership with the Senior Social Media Manager and the rest of the Corporate Communications team. This is a role for someone who is equal parts creative and analytical: you can write a scroll-stopping post and explain exactly why it worked. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage the content calendar and day-to-day execution across social channels, including Instagram, LinkedIn, and X. Develop and execute social communication plans for product announcements, launches, global events, and other key company initiatives in partnership with communications, marketing, and cross-functional teams. Create and manage social content and programs that showcase Datadog, including employee advocacy initiatives, internal and external newsletters, and content supporting sponsored and Datadog-hosted events. Monitor social channels and engage with relevant conversations, identifying cultural moments and routing mentions that require broader support to the appropriate internal teams. Analyze social performance and translate results into actionable insights and reporting for executives and cross-functional stakeholders. Partner with the Senior Social Media Manager and larger Corporate Communications team to continually refine Datadog’s social strategy, processes, and approach to audience engagement. Who You Are: You have 4–6 years of experience in s

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr