Spark Jobs

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work directly with Physical AI customers to understand their workloads and production requirements. Your insights will shape our core infrastructure products and inform future development by connecting needs across Physical AI industries with product decisions. You will also investigate opportunities for new Nebius products by developing hypotheses about unmet needs, examining demand, and building prototypes to test with customers. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure alongside customer engineers, with close collaboration across customers, NVIDIA, Product, and Engineering.

$180k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Accenture

We are seeking a motivated Junior Data and AI Engineer to join our technology team. This role is ideal for a recent graduate eager to build a career in data engineering, artificial intelligence, machine learning, and cloud-based analytics. You will support the design, development, and deployment of data-driven solutions to enhance decision-making, automate processes, and create intelligent digital products. Working alongside experienced engineers and business teams, you will learn industry best practices while contributing to impactful projects.

We are seeking a highly motivated and experienced Enterprise Data Management – Data Application Engineer specializing in Supply Chain to join our Business Applications group. This role is crucial in transforming computing by leading the creation, oversight, and advancement of enterprise data platforms and global business workflows. You will partner with business and IT teams to deliver scalable, resilient, and future-ready data solutions, leveraging your expertise in enterprise data management, supply chain operations, data architecture/platforms, and Agentic AI. Your contributions will be vital in resolving complex issues, refining data governance and observability, and ensuring trusted, high-quality information across the supply network.

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver measurable business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate with business stakeholders to translate operational challenges into effective data and AI solutions.

$200k - $322k

We are seeking a Senior DFX Software Engineer with a focus on Machine Learning to join our innovative team. This role involves defining and building methodologies, software, and flows for silicon device testing, debug, and failure analysis. You will contribute to advancing NVIDIA's participation in fields like gaming, compute platforms, and Artificial Intelligence by enabling high-quality silicon defect screening. If you are a creative, problem-solving individual who enjoys tackling technical challenges with new approaches, we encourage you to apply.

$152k - $288k

Baseten is seeking a Backend/Distributed Systems Engineer to join their Product Platform team. This role is central to Baseten's mission of powering mission-critical AI inference for leading AI companies. You will work on key areas such as commercialization, billing, partnerships, developer productivity, agentic development, and the observability platform. The position offers the opportunity to design and build scalable systems, own core platforms, and contribute to the company's growth at the forefront of AI development.

$165k - $330k

The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns over 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.

Growth Platform at Stripe builds machine learning systems to help businesses discover and utilize Stripe products. These recommendations are integrated across various platforms including the Dashboard, email, onboarding, documentation, and AI agent interfaces. The team combines business understanding with models to determine the most useful recommendations, optimal timing, and effective learning from outcomes. Their work encompasses recommendation and ranking models, contextual bandits, agent-based recommendations, and the underlying data and evaluation systems, aiming to drive business growth through relevant product adoption while maintaining a positive user experience.

Stripe is seeking a Machine Learning Engineer for its Link Fraud and Auth team. This role involves building and operating models and risk decisioning systems to protect Link while enabling legitimate payments. You will manage the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to developing, deploying, monitoring, and improving models in production. Your work will directly impact Link's fraud performance, authorization rates, and expansion into new products and payment experiences, contributing to Stripe's mission to increase the GDP of the internet.

Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.

Sierra is seeking a Software Engineer to join our full-stack data team, focused on enhancing the intelligence of AI agents. You will build real-time pipelines, analytics products, and personalization systems that leverage millions of conversations to drive business outcomes. This role involves architecting and developing our core data platform for low-latency, large-scale data processing, including real-time eventing, ETL pipelines, and a data lakehouse. You will also develop systems for long-term agent memory, customer data platforms, and optimization loops to personalize agent interactions and improve business results. The ideal candidate is passionate about AI products and thrives in a high-autonomy environment.

$230k - $390k

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

Alpaca is seeking a Senior Data Scientist, AI Evaluation to lead the measurement of our AI models and agents. In this senior individual contributor role, you will transform ambiguous quality questions into reliable ground truth, scoring methods, and evaluation loops that drive company-wide improvements. You will leverage an existing data foundation to enhance quality and accelerate the safe rollout of AI systems, owning the quality bar independently. This role is ideal for someone passionate about the correctness of AI outputs as much as their generation, who can partner with Product, Engineering, Analytics Engineering, and business stakeholders to define success, build robust evaluations, and ensure feedback loops drive iteration. If you have a strong quantitative background, a proven track record of rigorous, measurable work in evaluation, experimentation, or model validation, and desire ownership of a new evaluation practice at a rapidly growing financial services infrastructure company, we encourage you to apply.

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship designed to develop the next generation of AI builders. Fellows will tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. This program offers hands-on experience across four distinct dimensions of the AI lifecycle: Product Engineering, Product Management, Customer Solution Deployment, and Enterprise Workflow Transformation. The rotational model provides exposure to different AI teams, technologies, and problems, building the technical depth, adaptability, and product mindset needed to become an AI leader. Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.

$114k - $136k

Cohere Health is looking for a Senior Manager, Data Platform Engineering to lead a crucial part of their Data Platform team. This role involves scaling technology, engineering practices, and client delivery capabilities. You will combine people leadership, technical judgment, and execution ownership to build a high-performing engineering team, drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You will partner with Product, Engineering, Architecture, Client Delivery, and business stakeholders to construct a scalable and trusted data foundation that supports Cohere's growth.

$175k - $195k

We are seeking a Staff Full Stack Engineer to lead the technical direction of the team responsible for Alpaca's Trading API product. This product serves developers, traders, and institutions, and the team owns the entire customer experience, from platform access and account security to the applications used for trading. The role involves working across the full stack, including customer-facing trading applications, identity and permission systems, and integrations for partner apps and AI agents. This is a high-trust domain where system defects can have significant consequences, so we are looking for an engineer with proven experience in building and owning critical systems like identity, authorization, account models, and financial applications. While you won't manage people directly, you will lead through architecture, code, design reviews, and mentorship, acting as the senior technical anchor for the team.

Baseten powers mission-critical inference for leading AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling. We enable companies at the frontier of AI to bring cutting-edge models into production. This role focuses on the applied end of post-training research, working directly with stakeholders from fast-growing AI companies to post-train open-source models that outperform frontier closed models on specialized tasks. The day-to-day involves extracting signal from complex, domain-specific datasets and building reward functions, environments, eval harnesses, and training pipelines to improve models that ship to production and reach millions of users.

$200k - $275k

We are seeking an AI Engineer to join our team and contribute to features that empower developers to understand, evaluate, and enhance the performance of their agents. This is a hands-on engineering role where you will bridge the gap between experimentation, benchmarking, and product code, applying insights gained from agent evaluation to shape our framework. Our work focuses on building agentic features into Mastra, including trace intelligence and agent learning capabilities for automatic self-improvement, as well as running Mastra primitives on industry-standard benchmarks to fine-tune configurations.