Senior Ml Systems Engineer Jobs

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a social media manager to own how Baseten shows up on social. Our audience is ML engineers, infrastructure teams, and technical founders, and most of them meet us first on X or LinkedIn, around a model launch, a benchmark, an open source release, or a customer result. This role decides what that first impression is. This is a senior individual contributor role. You set the strategy and you write the posts. Day to day you'll work with product marketing, comms, design, our engineers, and our founders. This role relies on technical credibility. You don't need an engineering background, but you do need to understand what we're claiming and why it matters. We post about latency, throughput, and GPU cost, and we hold ourselves to getting those details right. RESPONSIBILITIES This role is the face of the Baseten brand on our social channels and builds our direct line of communication with the community across X, LinkedIn, YouTube, and the communities where our audience already spends time. Track the conversation across AI and open source, and move quickly when we have something useful to add. Set the social strategy: what we post where, how each account grows, and how we measure it, with a clear point of view on which channels deserve investment and which don't. Translate technical work into posts worth sharing: model launches, benchmark results, open source projects, engineering deep dives, and custo

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. Principal Signal Integrity Engineer — Interface Pathfinding About the Role At Micron, we transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next era of AI, ML, and advanced computing. Micron’s Interface Pathfinding team operates at the leading edge of that mission — serving as a bridge between corporate strategy and engineering through forward-looking investigation and development of energy-efficient bandwidth solutions. Our work spans innovative circuit, signaling, packaging, and interconnect solutions with a 3–5 year technology horizon, grounded in rigorous analysis, hands-on measurement, and a commitment to building a robust intellectual property portfolio. As a Principal Signal Integrity Engineer , you will be a core technical contributor on a deliberately small, senior team united around the goal of preparing high-speed interface innovations for high-confidence product adoption. What You’ll Work On Micron’s Interface Pathfinding team investigates and validates novel interconnect and signaling solutions for high-speed memory and die-to-die interfaces. The signal integrity scope is broad and analytically deep — spanning electrical modeling, channel analysis, and substrate evaluation — with an emphasis on original analysis rather than execution of established playbooks. Key signal integrity domains include: Intercon

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. Principal Signal Integrity Engineer — Interface Pathfinding About the Role At Micron, we transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next era of AI, ML, and advanced computing. Micron’s Interface Pathfinding team operates at the leading edge of that mission — serving as a bridge between corporate strategy and engineering through forward-looking investigation and development of energy-efficient bandwidth solutions. Our work spans innovative circuit, signaling, packaging, and interconnect solutions with a 3–5 year technology horizon, grounded in rigorous analysis, hands-on measurement, and a commitment to building a robust intellectual property portfolio. As a Principal Signal Integrity Engineer , you will be a core technical contributor on a deliberately small, senior team united around the goal of preparing high-speed interface innovations for high-confidence product adoption. What You’ll Work On Micron’s Interface Pathfinding team investigates and validates novel interconnect and signaling solutions for high-speed memory and die-to-die interfaces. The signal integrity scope is broad and analytically deep — spanning electrical modeling, channel analysis, and substrate evaluation — with an emphasis on original analysis rather than execution of established playbooks. Key signal integrity domains include: Interconnect Modeling — Generating an

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Checkout Optimization team is the growth team for Stripe’s checkout UIs. They build high-converting, personalized checkout experiences for buyers and agents, as well as the data platform that powers it. The team identifies opportunities to improve checkout through rapid product experimentation and delivers optimization at scale through our ML-powered engine. The team also builds the reliable data foundations that enable this work, including experimentation, optimization, and data-informed product decisions across Stripe’s checkout suite. Over the next 6 to 12 months, the team will focus on: Building personalized checkout experiences powered by the ML-based Optimization Engine Agentic commerce through optimizing OCS experiences for agent buyers Checkout optimization for rapidly growing AI companies Improving our data platform, which is critical to leveraging data internally and externally What you’ll do Engineering Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the engineering and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient engineering teams and you’ll have a strong user focus. You'll work with engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Lead and manage a team of talented full-stack product and data engineers, providing

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

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. The Heterogeneous Integration Group (HIG) within Micron's Technology and Products Group (TPG) leads the development of High Bandwidth Memory (HBM) solutions for AI and ML applications. Our modern designs use Through Silicon Via (TSV) technology. We stack multiple DRAM chips on a high-speed memory controller with a coordinated logic chip in one package. This new way improves memory density and bandwidth through parallelization. It aims to deliver the lowest power per bit solutions in the industry. As a Static Timing Analysis (STA) Engineer — you will be part of the Heterogeneous Integration Group (HIG), owning chip-level timing sign-off for next-generation die. You will work closely with RTL design, physical design, architecture, DFT, verification, and product teams to ensure timing integrity and drive timing closure across all modes and corners from initial design through tape-out. This is a hands-on senior technical role focused on chip-level STA ownership, constraint authoring, timing closure, methodology development, and pre-/post-silicon timing correlation. Key Responsibilities Responsibilities will include, but are not limited to: Own end-to-end chip-level static timing analysis and sign-off across all checks, modes, corners, and voltage and temperature conditions. Develop, maintain, and validate sign-off quality Synopsys Design Constraints (SDC) for clocks, resets, high-bandwidth memory (HBM) interfaces, design for test (DFT), and configuration logic.

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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

AI Transformation Managing Principal – Banking Location: New York, NY | Practice Area: Technology & Engineering | Type: Permanent Lead AI transformation strategies that redefine banking. The Role As an AI Transformation Managing Principal – Banking, you will partner with leading banking institutions to drive enterprise AI transformation initiatives that modernize operations, enhance customer experiences, and accelerate innovation. You will define AI strategy, identify high-value business opportunities, and oversee delivery alongside cross-functional teams. This senior consulting role combines AI strategy, business transformation, banking expertise, and executive client engagement to deliver scalable, business-focused AI solutions. What You’ll Do Lead enterprise AI and Generative AI transformation programs for banking clients, aligning AI investments with business strategy and measurable outcomes. Define AI roadmaps, operating models, and transformation strategies spanning foundation models, agentic AI, intelligent automation, and emerging AI capabilities. Advise executive stakeholders across retail, commercial, corporate, and digital banking on AI opportunities in lending, customer servicing, operations, risk, compliance, and back-office transformation. Partner with architecture, engineering, data, and delivery teams to develop, pilot, and scale enterprise AI solutions while building trusted executive client relationships and identifying new consulting opportunities. Mentor consulting teams, strengthen AI capabilities within the Banking practice, and contribute to thought leadership, market offerings, and industry initiatives. What We’re Looking For 10+ years of consulting and technology transformation experience, including enterprise AI, AI/ML, or Generative AI strategy, with a proven track record delivering transformation within the banking sector. Deep understanding of banking operations, digital banking, lending, customer experience, risk, compliance, and en

AI Business Consulting Lead Location: London (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent Lead AI transformation across the future of Wealth & Asset Management **Wealth & Asset Management experience essential** The Role Join Capco’s Wealth & Asset Management practice as an AI Business Consulting Lead, helping leading wealth managers, private banks, asset managers, and investment platforms unlock measurable value from AI-enabled transformation. This role combines strategic advisory, transformation delivery, stakeholder leadership, and AI commercialisation, helping clients leverage technologies such as GPT, Copilot, and broader AI/ML capabilities to drive business value through practical, responsible, and scalable adoption. Operating at Principal Consultant level, you will lead complex client engagements, oversee multidisciplinary delivery teams, and act as a trusted advisor to senior stakeholders across business, operations, technology, risk, and compliance functions. You will play a key role in identifying AI-enabled opportunities, shaping transformation roadmaps, supporting responsible AI adoption, and driving enterprise-wide change across Wealth & Asset Management organisations while ensuring solutions remain practical, human-led, and aligned to business objectives. This role is suited to individuals who combine deep Wealth & Asset Management expertise with strong consulting capability and practical experience delivering AI-enabled business transformation within highly regulated environments. What You’ll Do Lead AI-enabled transformation programmes across Wealth & Asset Management organisations, identifying opportunities to improve advisor productivity, client experience, operational efficiency, and investment processes using approved AI tools and practical automation where they add value. Act as a trusted advisor to senior stakeholders, facilitating executive discussions, shaping AI adoption strategies, and tra

CSQ327R248 Location: New Zealand As a Technical Program Manager, you are instrumental in advancing our Forward Deployed Engineering team's mission, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly navigate the balance between delivering outstanding results and aligning with the commercial objectives of the Forward Deployed Engineering organization. Your leadership and strategic insight will contribute directly to our clients' success and the growth of our business. The impact you will have: You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous projects, ranging from a single individual for 2-3 weeks to 6-month engagements of multi-person teams Serve as a trusted advisor to senior customer stakeholders, driving clarity, alignment, and confidence through all stages of delivery Shape the success of engagements by proactively managing risks, aligning cross-functional teams, and ensuring customer outcomes are met or exceeded Ensure accurate reporting on projects and keep all relevant parties up-to-date with project activity and success Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders What we look for: Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million Ability to engage, influence, and buil