Lead Senior Machine Learning Engineer Ii 2c Core Engineering Jobs

We at NVIDIA seek an Senior Developer Relations, Automated Synthetic Chemistry Science Lead who can coordinate science streams. This role exists at the crossroads of experimental science, optimization, analytical characterization, AI modeling, laboratory automation, and data infrastructure. It demands a practitioner with a background in research who can lead interdisciplinary science teams and accelerate experimentation without compromising scientific quality. What you'll be doing: Coordinate the operating plan across research priorities, technical execution, and program achievements. Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria. Lead research initiatives encompassing synthetic chemistry, catalysis, process chemistry, machine learning, automated systems, and data processing. Build standardized experimental traces capturing successful and unsuccessful outcomes, metadata, quality-control signals, analytical summaries. Guide AI systems for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration. Integrate automated experimentation, analytical data streams, data curation, model retraining, and campaign decisions into a closed-loop operating model. Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues. Prepare recurring workstream readouts for program leadership, including scientific progress, critical decisions, cross-team dependencies, resource needs, and unresolved risks. What we need to see: PhD (or equivalent experience) with 10+ years of hands-on experience in experimental science, chemical engineering, material science, robotics, a

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while balancing User Experience and Platform Revenue. We are hiring a Senior Applied Scientist II to lead the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematic

NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management. What You'll Be Doing Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs. Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan. Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies. Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals. Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment. Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets. Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management. Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks. What We Need to See 5+ years

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate a Senior Manager to lead and develop our Game Security team. In this dynamic role you’ll be committed to ensuring our games and services remain secure and enjoyable by protecting against cheaters, vulnerabilities, and exploits. You’ll be responsible for designing and implementing processes to continuously strengthen our game security programme, mitigating threats to the player experience while evolving the efficacy of our enforcement and operations teams. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of London. WHAT WE DO The Game Security team is responsible for protecting our players, our games, and intellectual property from malicious actors. We work across multiple disciplines to detect, deter, and disrupt threats impacting the player experience. We work closely with other teams to enforce, support, and improve security solutions. RESPONSIBILITIES Leverage extensive subject matter expertise to develop and support anti-cheat initiatives and protect the integrity of our live service titles. Lead, mentor, and manage a talented and cross functional team engaged in day-to-day anti-cheat operations for our online titles. Set team priorities, allocate resources effectively, and plan for future growth to meet organisational objectives. Establish and standardise operational processes, tools, and best practices. Contribute to the development and monitoring of key risk and performance indicators in partnership with our analytics and i

Role Overview The AI Implementation Lead is a role within the COO organization responsible for driving the adoption and practical application of AI capabilities across the Corporate Enablement Capabilities (CEC) function. This individual will leverage functional expertise and emerging AI capabilities to identify and prioritize opportunities, connect and scale proven AI solutions, promote AI adoption across the organization, and establish the governance and foundational capabilities required for sustainable execution. The successful candidate will be accountable for the end-to-end lifecycle of AI initiatives, from opportunity identification and prioritization through implementation, adoption, and value realization. This role is pivotal in shaping the future of the CEC function by embedding intelligence, automation, and Responsible AI practices into core functional processes. While this role will report to Citi’s Head of Procurement and Third-Party Management, a member of the CEC leadership team, and will work closely with all members of the CEC leadership with active engagement across CEC senior process leaders, senior AI stakeholders and technology partners. Key Responsibilities 1. Leverage Functional Knowledge & Emerging External AI Capabilities Identify, assess, and prioritize AI opportunities across the functional organization Build understanding of functional processes, pain points, and emerging AI capabilities to connect business needs with practical solutions Parter with internal function heads to establish ideation sessions and working forums to surface use cases and drive engagement Help refine and mature opportunities for evaluation, sponsorship, and execution 2. Connect & Scale Proven AI Solutions Identify common patterns of work across functional teams and opportunities to leverage existing

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A SENIOR APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on dev

ROLE SUMMARY As an AI-enabled strategic scientific leader, you will partner with Oncology Research Leadership to integrate AI-driven strategies that will drive data-informed decision-making across our Oncology Research pipeline. As the AI Portfolio Lead, you will bridge cutting-edge AI/advanced analytics with deep Oncology R&D expertise to guide our portfolio strategy. Working as an individual contributor reporting into the Head, Portfolio Strategy and Program Management, you will analyze and continuously assess Oncology Research projects using AI-driven insights (predictive models, scenario simulations, competitive intelligence) and propose actionable strategies to Oncology Research Leadership. This role is science-focused and spans across discovery and preclinical stage programs, ensuring that our project teams pursue the most promising scientific approaches and mechanisms of action. Your work will directly inform pipeline prioritization and resource allocation decisions, enhancing the quality and objectivity of governance deliberations with robust data. ROLE RESPONSIBILITIES Portfolio Analysis and Insights: Continuously analyze the oncology Research portfolio (ESD through Preclinical) using advanced AI/ML tools and analytics to evaluate each program’s scientific strength, probability of success, and strategic portfolio fit per disease area strategies. Strategy Recommendation: Develop and propose data-driven portfolio strategies (at both project and portfolio levels) to senior leaders and Research governance committee. Use scenario analysis and predictive modeling to highlight optimal project prioritization, pipeline balance, and resource allocation scenarios. AI-Enabled Decision Support: Integrate AI-derived insights (e.g. machine learning predictions, knowl

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. Lifecycle Marketing is a horizontal team that shapes how we engage clients and talent across the full journey, and this role sits in our demand-side acquisition lane. We’re hiring a Lifecycle Marketing Lead, Growth & Acquisition to own high-impact lifecycle programs that help close the new-client acquisition gap through smarter demand capture and stronger engagement with SMB audiences. You’ll lead key initiatives across outbound prospecting and always-on content, translate performance signals into clear recommendations, and help shape how lifecycle marketing contributes to Upwork’s 2026 priorities. This is a senior indi

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Senior Director, Generative AI About the Role Roblox Build is our generative creation product, the platform where creators design, build, and publish 3D experiences. We are looking for a Senior Director of Generative AI to lead the Applied AI organization inside Build, responsible for turning state-of-the-art foundation models into high-quality, reliable creation systems at Roblox scale. This leader will own the full applied AI stack: model strategy and routing, model adaptation and fine-tuning, code generation (CodeGen), 3D layout generation (LayoutGen), and the evaluation science and infrastructure that tells us what actually works. You Will Own model strategy and routing for Build. Design and build an intelligent model layer that selects the right model for each creation task based on quality, capability, latency, cost, and safety, leveraging both frontier models and Roblox-adapted open-source models. Lead model adaptation across the Applied AI org, including fine-tuning, distillation, synthetic data generation, human feedback pipelines, and preference optimization for Roblox-specific creation tasks such as Luau code generation and 3D scene understanding. Drive CodeGen capabilities

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. At the heart of Discord's communities is Safety. The Safety team at Discord is responsible for ensuring users find belonging by minimizing exposure to abuse on the platform. We're looking for a Product Manager to lead our work on scaled abuse — fake accounts, account takeovers, scraping — and help keep Discord a safe and welcoming place. Reporting to our safety Group Product Manager, you'll create the vision, build the systems, and lead the cross-functional strategy that detects and prevents scaled abuse before it reaches our users. This is a high-ownership, high-impact role with significant room to shape strategy, drive investment, and define how we measure and win in this space. What You'll Be Doing Own the product philosophy, vision, and multi-quarter roadmap for scaled abuse, spanning fake accounts, ATO, scraping, and recidivism detection — prioritizing proactive, foundational investments that compound across the platform. Define, own, and socialize the north-star metrics for the space and report progress against those goals to the relevant stakeholders. Translate threat research into forward-looking defensive product work, so our roadmap focus’s on the highest-leverage defensive investments rather than one-off firefights Drive cross-functional execution with growth, security, anti-abuse and product teams to minimize impact of abuse on our users. This work spans machine learning solutions, heuristics, and building delightful features in-app. Partner with product teams across Discord to embed abuse resistance into new surfaces before they ship. What you should have Ability to thrive in ambiguous envi

About the Role We are looking for a senior partner success and learning professional to activate cloud partners to co-sell and deploy customer solutions at scale. This role leads the enablement strategy and execution that equip partner teams to turn joint priorities into measurable customer and business outcomes. As a trusted advisor to strategic partners, you will turn shared business priorities into practical enablement programs that help partner sales, technical, customer success, and leadership teams identify joint opportunities, co-sell effectively, and deploy customer solutions successfully. You will own the partner enablement relationship for an assigned portfolio and work across internal teams to ensure programs are coordinated, scalable, and connected to measurable partner, customer, and business outcomes. This is not a traditional training delivery role or a quota-carrying partner account manager position. It is a consultative, partner-facing role for someone who can shape strategy, build relationships, translate complex AI capabilities into effective learning experiences, lead persuasive enablement sessions, and guide strategic partners toward sustained success. In this role, you will: Own strategic partner enablement and success Serve as the primary enablement and success lead for a portfolio of strategic cloud platforms. Develop a deep understanding of each partner’s business, priorities, audiences, existing learning infrastructure, and strategic relationship with our company. Build partner-specific enablement strategies aligned to shared goals, priorities, and the broader partnership strategy. Establish trusted relationships with partner leaders, alliance teams, enablement stakeholders, sales organizations, technical communities, and post-sales teams. Lead ongoing planning conversations, enablement reviews, stakeholder check-ins, and executive updates that keep partners and internal teams aligned. Identify gaps, risks, opportunities, and emerging partn

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Paytm Ads is strengthening its position as a leading outcome-driven advertising platform, powered by high-intent first-party data, machine learning–led optimization, and robust measurement and attribution capabilities. As Director of Product, you will lead the evolution of our existing ads platform into a performance-first, data-powered ecosystem, unlocking stronger advertiser outcomes across ROAS, CAC, and conversions. This role sits at the intersection of ads, data, and commerce, and requires a strong blend of strategic thinking, product depth, and execution excellence. What You’ll Drive 1. Outcome-Driven Ads Platform Define and scale Paytm’s performance advertising stack, focused on delivering measurable outcomes (ROAS, CAC, conversions)Build solutions across: Audience targeting & retargeting Campaign optimization Conversion tracking & attribution. 2. First-Party Data & Audience Systems Leverage Paytm’s rich transactional and behavioral data to build high-quality audience segments Design and scale privacy-safe data activation frameworks, including clean room (DCR) capabilities Enable advertisers to activate their own data in a secure, compliant manner. 3. ML-Led Decisioning & Optimization Lead the development of machine learning–driven systems for: Bidding & budget allocation Ad ranking & personalization Audience selection and lookalike modeling Drive continuous improvement in model performance and business outcomes. 4. Data Infrastructure & Platform Thinking Build and evolve data platforms and decisioning engines that power real-time ad delivery and optimization Ensure systems are scalabl