Find your next AI Engineering role

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization, model compression, speculative decoding, KV-cache optimization, inference engines, and serving architecture to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions, validating improvements through reproducible benchmarks and safe production rollouts.

$195k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.

$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 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 to support developers and enterprises from data and model training through to production deployment. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform. This role involves analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software, operating across the full stack from hardware and system software to networking, virtualization, and distributed communication layers.

$170k - $300k

Nebius is a leading AI cloud platform provider, supporting developers and enterprises from data training to production deployment. Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to trustworthy web content. The Forward Deployed Engineering team at Tavily focuses on technical partnerships across the AI ecosystem, including model providers, agent frameworks, and infrastructure companies. This role involves working directly with strategic partners to design, build, and launch solutions that integrate Tavily into the agent stack, acting as both a builder and a technical partner to ship code, influence product direction, and help Tavily become the default search and web access layer for agentic applications.

$113k - $184k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering. You will assess how partner products work on our stack, define reference architectures for integrations, build prototypes to prove concepts, and translate findings into product requirements that shape future Nebius offerings.

$180k - $224k

Nebius is seeking a Sr. Solutions Engineer to serve as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. This role involves bridging customer requirements with internal engineering capabilities to ensure successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. You will be instrumental in supporting customers, investigating and resolving complex issues, and contributing to the continuous improvement of our systems.

$180k - $220k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure. This senior systems engineering role focuses on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. The engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the root cause of issues, developing new troubleshooting procedures for ambiguous problems. The role requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions.

$180k - $224k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage, ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. You will define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.

$184k - $318k

Alpaca is a global leader in agent-first brokerage infrastructure, serving hundreds of financial institutions worldwide with institutional-grade APIs. Our mission is to open financial services to everyone, supported by a diverse team of experienced professionals committed to open-source contributions and fostering a vibrant community. We are backed by significant funding from top-tier investors and are looking for passionate individuals to join our dynamic, globally distributed team. The Data Platform team builds and operates the shared infrastructure for data storage, movement, and consumption across Alpaca, processing hundreds of millions of events daily. As a Data Platform Engineer, you will build and operate reliable systems across this platform, contributing to our distributed query, lakehouse, CDC, and real-time streaming infrastructure. You will own projects from implementation to production, enhancing the platform's scalability, reliability, and developer experience.

Dodo is seeking a Care Engineer to deploy AI agents into healthcare practices. This role involves owning each location's deployment from contract signing to a live phone line, transforming front desk operations into reliable production agents, and developing the playbook for scaling launches to thousands of locations. You will act as a bridge between customers, product, and engineering, taking ownership of real-world deployments and translating learnings into product enhancements.

Dodo is seeking a Senior ML Engineer to enhance the intelligence, speed, and reliability of healthcare's front desk agents. This role involves owning the models, evaluation, and training loops that process millions of real conversations daily, continuously improving the system based on real-world interactions. You will be instrumental in making Dodo's agents smarter and more effective in handling patient communications.

Dodo is building the AI operating system for healthcare, impacting millions of patients and thousands of practices. This role involves working across voice, agents, integrations, data, and product to develop systems that power AI agents and are used daily by healthcare teams. You will have significant autonomy to own large parts of the product and infrastructure, from real-time systems to user-facing features.

Salesforce is seeking a Principal Member of Technical Staff (PMTS) to lead the technical direction for their Digital Wallet team. This role focuses on high-scale, business-critical consumption and usage-metering systems that ensure customers pay accurately for what they use. You will be responsible for setting architecture, driving execution, and owning end-to-end delivery across the full software development lifecycle. This is a hands-on technical leadership position where you will act as a force multiplier, raising the technical bar through reviews and mentorship, and ensuring the accuracy, performance, and scalability of the Digital Wallet systems for all Salesforce customers.

$197k - $314k

Salesforce is seeking a Data360 (formerly Data Cloud) Success Architect to drive successful outcomes for strategic customers by leveraging technical expertise in data and analytics. This role is crucial in integrating Data360 with Salesforce Marketing, Sales, and Service Clouds to enable Customer 360 use cases, unifying customer data for AI-driven marketing automation, personalized engagement, and predictive insights. Data360 also serves as the foundation for Agentforce, enabling real-time, intelligent decision-making through centralized enterprise data, leading to context-aware AI automation and hyper-personalized customer interactions.

$123k - $186k

Salesforce is seeking a trailblazing engineering leader for its Developer Experience (DevXP) AI team. This role will focus on empowering developers with AI tools to innovate the developer experience at Slack, impacting the entire engineering organization with Agentic SDLC solutions. The position involves owning AI tooling from end to end, including distribution, monitoring, evangelism, evaluation, and cost management, as well as building and experimenting with internal AI code review agents. The ideal candidate will be comfortable in uncharted territory, excel at dealing with technical ambiguity, and lead architectural efforts that impact the Product, Design, and Engineering (PDE) organization. This is a hands-on leadership role that will set and drive the roadmap for how AI accelerates software development at scale.

$218k - $365k

Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.

$173k - $260k

DataRobot is seeking a Deep Learning Research Engineer Intern to contribute to the development of a multi-target joint probabilistic foundation model. This ambitious project aims to create a single model capable of handling temporal forecasting, unordered tabular regression and classification, missing-data completion, and mixed-modality inputs and outputs, learning coherent joint structures across various dimensions. The primary focus is on generating real-world value, though strong benchmark performance is also expected. This internship offers a unique opportunity to shape the architecture of a probabilistic foundation model, working on encoders, attention mechanisms, sequence architectures, and distributional output heads. The role requires a blend of deep learning expertise, strong engineering habits, and the ability to reason precisely about model capabilities and limitations.

Accenture

This role focuses on developing and optimizing AI agents and LLM-powered applications to enhance cybersecurity operations within a Security Operations Centre (SOC). The AI/ML Engineer will collaborate with security experts to design, build, and deploy AI workflows that integrate with existing security tools, aiming to accelerate threat detection and response. The mission is to leverage AI to combat evolving cyber threats, requiring a strong engineering background and a security-first mindset. The position involves architecting modular and scalable AI solutions, implementing robust security measures against adversarial attacks, and adhering to AI governance frameworks for data handling, logging, and compliance. Cost management for LLM usage and infrastructure is also a key aspect, alongside clear technical documentation.

Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will transform telemetry and workload data into clear findings and visuals, partnering with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting, coordinating these into tools the team uses. This role involves analyzing signals to identify opportunities for application and platform improvements, working with high-dimensional data to spot trends, and communicating conclusions to engineers and leadership.

$152k - $242k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

NVIDIA is seeking a Senior Engineer to lead the performance modeling, evaluation, and post-training of large language models focused on code generation and agentic coding tasks. This role involves optimizing model capabilities, efficiency, and reliability by working at the intersection of model training, inference, and empirical analysis. You will design experiments to understand model behavior, identify performance bottlenecks, and develop post-training strategies to achieve measurable improvements in coding benchmarks and real-world software engineering tasks. Collaboration with research scientists, infrastructure engineers, and product teams will be key to translating model insights into production-ready features.

$224k - $431k

NVIDIA is building a new kind of agentic engineering system to ensure the correctness, security, and reliability of software for safety-critical applications like autonomous vehicles and medical robots. This system aims to translate precise specifications into production-ready C/C++ and Rust software, continuously validating the results and providing evidence for readiness. The role involves leading a core team to develop this capability, combining AI agents, systems engineering, deterministic validation, security, and functional-safety practices into a production platform.

$272k - $431k

NVIDIA is seeking a Distinguished Engineer to lead the company's storage strategy for AI Cloud, focusing on the Neocloud Provider (NCP) and Cloud Service Provider (CSP) ecosystem. This role involves directing the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale. You will remain hands-on, collaborating with engineers, SREs, partners, and storage vendors, and leveraging NVIDIA's AI tools to enhance productivity. This is a unique opportunity to shape the storage framework for the AI era at a company that pioneered accelerated computing, ensuring that storage platforms can keep tens of thousands of accelerators continuously busy and power the largest AI workloads worldwide.

AgentMail is seeking a Developer Success Engineer to serve as the primary technical point of contact for developers integrating with AgentMail's AI agent inboxes. This role focuses on independently solving technical challenges, understanding developer goals, and identifying recurring issues. The objective is to not just answer questions, but to understand the root cause, learn from developer experiences, and improve the product and its documentation.

Hex is seeking an AI Engineer Intern to join their team this summer and contribute to the development of next-generation AI-powered data tooling. The role focuses on empowering users to understand and work with data through natural language and agentic AI capabilities. Interns will directly contribute to product and research initiatives, working closely with experienced engineers to ship real features and gain insights into cutting-edge AI technologies. This is an opportunity to learn, grow, and make a meaningful impact in an exciting technical field.

Chai Discovery is building the computer-aided design suite for molecules, used by major pharmaceutical companies to power drug discovery programs. AI is revolutionizing life sciences, and our team is at the forefront of this transformation. We train frontier models that understand the fundamental principles of biochemical structure and interaction, coupled with a computational workspace that enables scientists to iterate on molecules from concept to medicine. This accelerates the development of novel therapeutics. This role focuses on building the AI platform that empowers scientists to direct research programs using agents. As Chai's models advance, scientists will increasingly focus on core scientific problems and hypotheses, delegating subtasks to intelligent agents. This requires creating innovative abstractions that facilitate seamless collaboration between people, agents, and Chai's foundation models.

Databricks

The Agentic Security Engineering team is building an AI-native shared services platform to empower all Databricks security functions. This role will serve as a senior technical authority and architect for this platform, defining its architecture, technical standards, and multi-year engineering direction. You will ensure security teams can safely build, deploy, and operate governed AI personas at scale, focusing on areas like secure agent identity, isolation, policy enforcement, auditability, and observability. Your work will involve cross-organizational alignment, driving adoption of common patterns, and resolving complex technical challenges to improve the quality, safety, reliability, and velocity of the Security AI ecosystem.

$183k - $314k

CoreWeave is seeking a curious, energetic, and innovative Software and AI Engineer to join their Strategy and Transformation team. This role focuses on building intelligent internal systems, AI-powered workflows, and first-party applications that enhance how CoreWeave operates. You will partner with various departments like Finance, Supply Chain, HR, and Legal to integrate enterprise platforms and develop AI solutions. This position is ideal for an early-career engineer looking to grow at the intersection of software engineering, product development, and applied AI, contributing across the full development lifecycle from implementation to production support.

$120k - $160k

The SambaStack team is seeking an Engineering Director to lead a software engineering team while remaining a hands-on technical contributor. You will own the growth and effectiveness of your team, the technical quality of their output, and the roadmap for the inference serving platform. You will continue to design systems and write code on the platform's hardest problems, contributing directly as a software engineer on critical platform initiatives.

$245k - $325k

Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

Databricks

Databricks is seeking a Staff Engineer for AI Search to play a critical role in building and scaling their next-generation Search product, encompassing Vector Search, Keyword Search, and Search Quality. The role involves driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, the engineer will help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts to expand the technical and business impact of Search at Databricks.

$166k - $225k

Databricks

Databricks' Model Serving product offers enterprises a unified, scalable, and governed platform for deploying and managing AI/ML models, including traditional ML and large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage, making it a core pillar for customers operationalizing models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you will be instrumental in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build high-throughput, low-latency inference systems for CPU and GPU workloads, influence architectural direction, and collaborate with cross-functional teams to deliver a world-class serving platform.

$166k - $225k

Scale AI

The Human Frontier Collective (HFC) aims to bring together top minds to shape the future of AI, focusing on the people who teach AI systems. The collective comprises researchers, academics, and domain leaders from over 70 fields, with most members holding doctorates. HFC members contribute to shaping how frontier AI systems are built, evaluated, and governed, and have co-authored significant research publications. The fellowship offers participation in high-impact AI/ML projects, opportunities to publish research, and access to an exclusive expert network.

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

Scale AI

Our Generative AI Data Engine powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. The data produced is crucial for how humanity will interact with AI. This horizontal, high-impact Staff Fullstack Engineer & Architect position reports directly to the Director of Contributor Engineering. Your scope spans across all Contributor (CB) teams, powering AI data operations from building high-impact datasets to optimizing contributor onboarding and incentives, and safeguarding data integrity. You will act as an organizational architect and tech lead, embedding into high-priority projects to guarantee execution, unblock teams, and ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.

$252k - $315k

Scale AI

Scale is seeking a Staff Machine Learning Research Engineer to join the Applied Intelligence Systems (AIS) team, which is part of the Scale Generative AI Platform. This role focuses on advancing agentic AI applications for enterprise and government use cases. You will work across the full spectrum of technical challenges within AIS, contributing to areas such as model training and fine-tuning, designing evaluation systems, building improvement loops from production data, prototyping novel agent architectures, and developing internal tooling. This is a hands-on research and engineering position where you will write code, ship production systems, and set the AI/ML technical direction for the team, influencing methods, architectures, and standards for others.

$250k - $350k

Scale AI

Scale is seeking a Staff Machine Learning Engineer for its Public Sector team to lead the design and deployment of agentic AI systems in critical government environments. This role involves working at the intersection of agentic ML, systems engineering, and applied research to build foundational infrastructure for AI systems that reason, plan, and act reliably at a national scale. You will partner directly with U.S. defense and intelligence agencies, contributing to flagship programs that advance agentic AI for geospatial reasoning, planning, and decision support. As a Staff ML Engineer, you will set technical direction, own core architectures, and translate ambitious ideas into production systems trusted by government operators.

$274k - $343k