Foundation jobs

Expert Data Engineer MEYRIN,SWITZERLAND We are looking for a hands-on Expert Data Engineer to join our dynamic team. The ideal candidate will have a strong foundation in SQL, with a proven track record of building and optimizing data syst...

AIML - ML Researcher, AFM Cupertino, United States of America We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge. Minimum Qualifications: Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such

Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Build synthetic data pipelines to generate enterprise environments to use for RL post-training - Create agents to convert traces from production into

Solutions Architect - Defence and National Security Ottawa Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere's Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the

Engineering Manager, Infrastructure San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the Role As an Engineering Manager on the Infrastructure team at Cursor, you'll lead the team that owns the foundational cloud, networking, storage, and compute layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, data storage systems, and the compute runtimes that power production. Cursor is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your team's systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere. You'll set technical direction, write and review code, and lead a team of strong infrastructure engineers, balancing hands-on contribution with growing your team's impact. What you'll do - Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to. - Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers. - Building edge and security

Senior Software Engineer, Security Enablement Team ASE Seattle, United States of America Security is at the heart of Apple's products and services. The Security Enablement Team at Apple focuses on building Software and Services that provide foundational components to secure our systems. The systems we secure are in the critical path of Apple's key services such as iCloud, Apple Music, News, Satellite SoS, FindMy. This high leverage team is responsible for providing secure software and services for Data Services such as Cassandra, Kafka, Valkey, Zookeeper, etcd, Solr and many more. Apple is seeking software engineers with a passion for Security to join our team. In this role you will be working on problems of Foundational Security Architecture, Data Protection, Compliance and Governance and many more problems intersecting scale and security. Security is paramount to Apple's commitment to user trust and privacy. The Security Enablement Team plays a critical role in this by developing and delivering the foundational software and services that secure Apple's most vital systems. As a Software Engineer on this team, you will be at the forefront of building robust, scalable, and secure solutions that underpin services like iCloud, Apple Music, News, Satellite SoS, and FindMy. This is a hands-on software engineering role where your primary focus will be on designing, coding, and deploying high-performance systems with security built-in from the ground up. You will work with a diverse set of technologies, including large-scale distributed data services (Cassandra, Kafka, Valkey, Zookeeper, etcd, Solr) and cloud-native platforms (Kubernetes, Docker).

SAP S/4HANA Engineer (Basis) Expert - Sovereign Cloud Delivery Germany (m/f/d) SAP S/4HANA Engineer (Basis) Expert - Sovereign Cloud Delivery Germany (m/f/d) | Region Europe | Country Germany | Internal Posting Location Berlin We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. COMPANY DESCRIPTION SAP recently decided to combine and harmonize all SAP Sovereign Cloud offerings, establishing an end-to-end process for the Public Sector and regulated industries. The newly created Global Sovereign Cloud Delivery & Operations business unit is part of SAP Product Engineering with responsibility across the relevant Sovereign Cloud portfolio of SAP. Global Sovereign Cloud Delivery & Operations is collaborating closely with all Board areas to establish a harmonized, scalable, and consistent offering with transparent and standardized deliverables. YOUR FUTURE ROLE We are looking for an SAP S/4HANA Engineer (Basis) Expert who will manage the daily cloud operations of our Sovereign Cloud offering. You will work across the Service Delivery Lifecycle to analyze, design, build, test, implement and/or maintain multiple system components or applications. You

Sr Manager HRBP (Global) Bayan Lepas, Penang, Malaysia Company Description: Job Description: Operations group in Renesas refers to divisions in manufacturing, QA, SCM, procurement. Renesas maintains a vast manufacturing and R&D footprint, including major sites in Japan (e.g., Naka, Takasaki, Kawashiri) and international locations, supported by a global sales network. This role reports to, and partners closely with, the Global HR Business Partner to support Enterprise Foundations - Operations leadership team. As an HR Business Partner, you are as a strategic enabler and executor of Enterprise Foundations - Operations people priorities - partnering with senior leaders and below to drive business‑aligned people strategies. You will leverage your understanding of Renesas' processes, systems, and culture to provide insights and solutions that enable leaders to make effective, data‑driven people decisions. Partner with global HRBPs to understand the strategic priorities of Enterprise Foundations - Operations and translate them into actionable people and organizational plans. Enable talent and performance outcomes by executing global strategies across talent management, organizational design, performance management, and talent refresh & optimization. Build future-ready capability by partnering with leaders to identify strengths, development needs, and shape robust leadership and specialist talent pipelines. Provide insights through people analytics to guide workforce planning, organizational design, talent forecasting, and capability-building decisions. Lead and support change effectively by guiding teams through organizational transitions with clear communication, active listening, and disciplined change execution. Collaborate across the HR community - working across regions and HR functions, role‑modelling TAGIE behaviors, sharing best practices, and contributing to a

Junior Solution Architect, Partner Ecosystem Singapore posted: Posted 9 Days Ago

Join our Talent Community Lexington, Massachusetts, United States At Keros, our mission is to deliver significant clinical benefit to a wide range of patients with disorders that are linked to dysfunctional signaling of the transforming growth factor-beta (TGF-ß) family of proteins. With a focus on developing differentiated product candidates that are designed to alter TGF-β signaling, we aim to target the pathways critical for the growth, repair and maintenance of blood cells and a number of tissues, including bone, skeletal muscle, adipose and heart tissue. We believe our product candidates have the potential to unlock the full therapeutic benefits of modulating the TGF-β superfamily and provide disease-modifying benefit to patients. Don't see a job posting that fits your background? That's OK. Please apply below to be considered for future opportunities. Our Diversity, Equity & Inclusion Mission Statement: Keros is an inclusive company. We believe that diversity drives innovation. We continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. As such, Keros takes a holistic approach in mentoring, coaching, and developing all of our Keros team members. Keros Therapeutics is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Recruitment & Staffing Agencies: Keros Therapeutics does not accept unsolicited resumes from any source other than the candidate directly. Any

Senior Software Engineer (Backend, Enterprise) Boston, MA At WHOOP, our mission is to unlock human performance and healthspan. Our enterprise platform helps organizations across athletics, business, healthcare, and public service better understand and support the health and performance of their teams. WHOOP Enterprise is entering a new phase of growth and reinvestment. We're looking for a Senior Software Engineer to play a critical role in evolving the Enterprise platform; building core systems, shaping technical direction, and laying the foundation for a scalable enterprise product. This is a high-ownership role with meaningful autonomy. You'll operate in a product-ambiguous environment, help define what “great” looks like, and partner closely with design, stakeholders, and leadership as the platform takes its next step forward. At WHOOP, our mission is to unlock human performance and healthspan. Our enterprise platform helps organizations across athletics, business, healthcare, and public service better understand and support the health and performance of their teams. WHOOP Enterprise is entering a new phase of growth and reinvestment. We're looking for a Senior Software Engineer to play a critical role in evolving the Enterprise platform; building core systems, shaping technical direction, and laying the foundation for a scalable enterprise product. This is a high-ownership role with meaningful autonomy. You'll operate in a product-ambiguous environment, help define what “great” looks like, and partner closely with design, stakeholders, and leadership as the platform takes its next step forward. RESPONSIBILITIES: - Own and evolve foundational systems for WHOOP Enterprise, starting with Enterprise APIs, authentication, and account

Network Engineer, Foundations and Support Aiken, SC; Cedar Rapids, IA; Rosemount, MN Meta is looking for a forward thinking Network Operations Engineer to support delivery of field services as part of our Edge and Network Services (ENS) team. Ideal candidate to possess subject matter expertise in hyperscale DC structured cabling, fiber connectivity solutions, and IP networking. Candidates will also have experience scoping developing and implementing strategies and plan in partnership with internal business teams, external vendors, and network design/engineering, and other cross-functional teams to develop strategies for integrating new technologies and to better support existing technologies across the operational fleet. An objective for this role is to understand technical drivers for the business, organize strategies to ensure the operational supportability to meet those business needs, and to represent ENS across stakeholder groups to ensure those critical projects are achieved. The team improves operational efficiency and reliability of one of the most advanced and rapidly evolving networks in the world. The right candidate will possess experience in a fast moving organization and enjoy digging into operational pain points in order to implement the process enhancements and automation solutions to solve them. The ideal candidate loves identifying root causes in complex systems and quickly learning new domain expertise and technologies. Responsibilities: - Incident Response: Drive work investigating complex technical and process issues on a global scale spanning multiple reliability, security, and continuity disciplines for infra during major incidents/site events (SEVs) on edge, caching, and network infrastructure. This will require you to work

AI Scientist - Biomedical Multimodal Modeling South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations. What You'll Do - Develop multimodal foundation models spanning image and molecular data - Design approaches that unify representation learning and generative modeling - Train large-scale models on structured, high-dimensional datasets - Explore cross-modal alignment, prediction, and generation - Build scalable systems for data processing, training, and evaluation - Work in a research-driven environment with evolving problem definitions What We're Looking For Strong background in deep

Applied Scientist II, Foundation Model, Industrial Robotics Group Sunnyvale, California, USA Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models that: - Enable unprecedented generalization across diverse tasks - Integrate multi-modal learning capabilities (visual, tactile, linguistic) - Accelerate skill acquisition through demonstration learning - Enhance robotic perception and environmental understanding - Streamline development processes through reusable capabilities The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics

Founding Engineer San Francisco, California, United States tl;dr/Overview: At Alleviate Health we're building AI Agents that drastically accelerate clinical trials by autonomously communicating with patients to recruit them into trials and support them over years, pruning billions in excess spend. We're solving the problem that keeps execs at the largest $100B+ Pharma companies up at night. We bootstrapped to winning some of the largest enterprise accounts in the market and are seeing massive market pull. We've now raised a $4.3M seed round led by a16z and are hiring a world-class team to solve the largest problem in drug development and win one of the largest opportunities in AI - while slashing the time it takes to bring life-changing medicines to the patients who desperately need them. Context: Conducting a clinical trial is the most complex and broken, but also the most high‑stakes and capital intensive, problem of our era. To bring a life-saving medicine from the lab bench to patients, pharma companies spend tens of billions a year for research sites to qualify & screen hundreds of thousands of patients and then to stay in contact with those patients over years. Approximately 80% of clinical trials are delayed due to problems with recruitment and between $600,000 and $8 million is lost for each day a trial is delayed. This enormous, labor-intensive struggle of screening, recruitment, and retention of patients across thousands of small research sites in every single trial is the foundational bottleneck in clinical trials. About Alleviate: At Alleviate

Account Executive Los Angeles, CA; New York, NY NVE Experience Agency is a brand experience and production agency dedicated to building ideas rooted in culture and guided by the principle that 'The Right Moment Will Transform Someone Forever.' NVE's team of creatives, strategists, and producers develop insight-driven ideas rooted in culture to convert consumer attention into commitment, action, and brand loyalty. Summary of Position: At NVE, Client Services exists to drive growth for our clients, our business, and our teams through exceptional partnership, thoughtful counsel and the delivery of premium brand experiences. In this role, the Account Executive contributes by leading work - supporting strong client relationships through organized execution, clear communication and reliable delivery across projects and workstreams. We are seeking an Account Executive to support the Client Services department across assigned clients by managing foundational project tasks and day-to-day activities. The Account Executive ensures deliverables are tracked, timelines are maintained, and client communications are accurate and timely while building foundational client rapport, developing financial awareness, and growing toward ownership of larger workstreams and project scopes. Role Priorities: - Project Management: Owns task lists, timelines, and deliverable tracking across teams, ensuring project fundamentals are executed accurately and on time. - Workstream Coordination: Supports smaller (Tier 3) workstreams and may project manage individual scopes with supervision. - Business Fundamentals: Develops foundational understanding of project scopes, budgets, client structures and agency capabilities while supporting project debriefs and recaps. - Client Relationships: Builds professional rapport with client teams by executing requests reliably

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Senior Research Scientist, Foundation Model for Simulation Mountain View, CA USA; San Francisco, CA USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: - Conduct applied foundation model research and development - Design compelling experiments by training and evaluating large deep learning models - Present results to peers and leadership - Write high quality code, unit tests, and documentation You have: - Masters or PhD in deep learning in behavior and agent modeling or simulation - Proficiency in

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Data Scientist II – Performance Optimization Squad Stockholm The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. With 3,200+ microservices, 40,000 VMs at peak, and 500,000 K8s pods, even minor fleet-wide efficiency improvements result in substantial cost savings. We've already identified $8M+ in annual savings from our first initiative alone, and we're just getting started. This squad works horizontally across the entire stack - but none of that optimization happens without the data to see it. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make. The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. With 3,200+ microservices, 40,000 VMs at peak, and 500,000 K8s pods, even minor fleet-wide efficiency improvements result in substantial cost savings. We've already identified $8M+ in annual savings from our first initiative alone, and we're just getting started. This squad works horizontally across the entire stack - but none of that optimization happens without the data to see it. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make. What You'll Do Optimization at this scale is only possible when someone can see the problem clearly. You'll build the data foundation from scratch;

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Senior Data Scientist - Optimization, Central Market Management & AI New York, NY 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. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. Data Scientists in CMM&AI solve the foundational problems that drive Lyft's marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact. As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft's top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs