Senior AI Engineering Jobs

Hugging Face is seeking a Senior Open-Source Python Engineer to join their Applications team, focusing on building tooling for developers to create machine learning applications. This role involves maintaining and growing existing libraries like Trackio and Gradio, as well as developing new tools from scratch. A significant part of the job is taking projects from early stages to widespread adoption by shaping APIs, shipping quickly, and engaging with the developer community. The position is dynamic and requires comfort with evolving challenges in the rapidly changing ML ecosystem.

Salary not listed

We are seeking an experienced software engineer to contribute to the CUDA driver, a fundamental component of NVIDIA's CUDA parallel computing platform. This role involves designing and implementing innovative solutions within critical system software for NVIDIA Tegra platforms. The ideal candidate will be a highly motivated individual looking to grow their career in a fast-paced, innovative environment, capable of prioritizing effectively, communicating clearly, and managing multiple project aspects with agility.

Salary not listed

Conveo

Conveo.ai is a fast-growing, Y Combinator-backed company seeking a Senior Product Engineer to join its small, impactful engineering team. In this role, you will own the full product development lifecycle, from understanding customer problems to shipping working software. You will have significant influence on product direction and technical strategy, working closely with engineering leads and the CTO. This is an opportunity to shape the company's growth and build innovative AI-powered research tools used by global brands.

€90k - €110k

Databricks

Databricks is seeking a Staff Software Engineer to join its new R&D center in Vancouver, Canada. This role is focused on simplifying and democratizing data and AI by building and running the world's best data and AI infrastructure platform. You will collaborate with your team and product management to make data insights simple, taking ownership of the full product scope and user experience beyond technical implementation. The Vancouver site aims to be a key driver of product innovation, with open roles across strategic areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps, which involves working with cutting-edge technologies and AI agents.

CA$173k - CA$238k

Appier is seeking a Senior Machine Learning Scientist to join their Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that enhance campaign efficiency and advertiser ROI on a large-scale programmatic advertising platform. The role involves improving models for bidding, pricing, and personalized content delivery, ensuring system robustness and scalability in a dynamic market.

Salary not listed

Databricks

Databricks is seeking world-class engineers to join its new R&D center in Vancouver, Canada, focused on simplifying and democratizing data and AI. The company's platform enables customers to build and scale data and AI applications, analytics, and agents. This role will contribute to innovative product development across strategic areas such as Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps, which involves working with large-scale distributed systems, data modeling, governance, and AI enablement.

CA$173k - CA$238k

Databricks

Databricks is seeking a Fullstack Software Engineer to join its new R&D center in Vancouver, Canada. This role involves working on the company's mission to simplify and democratize data and AI by building and running the world's best data and AI infrastructure platform. You will collaborate with your team and product management to make data insights simple, taking ownership of the full product and user experience beyond technical implementation. The Vancouver site is envisioned as a key driver of product innovation, with open roles across strategic areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps, the latter of which heavily invests in app builder AI agents.

CA$146k - CA$201k

Databricks

Databricks is seeking world-class engineers to join its new R&D center in Vancouver, Canada, focused on simplifying and democratizing data and AI. The company is building and running the world's best data and AI infrastructure platform to help customers gain deep data insights. The Vancouver site aims to be a key driver of product innovation, with open roles across strategic areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps. Engineers will tackle challenges across the entire data processing pipeline, redefine Business Intelligence for the AI age, manage context for enterprise data, and work on a rapidly growing platform that heavily invests in app builder AI agents.

CA$146k - CA$201k

Databricks

As a Senior ML and AI Technical Solutions Engineer, you will play a critical role in helping customers debug and maintain stable Generative AI and ML workloads with AI agent systems using the Databricks Platform. You will develop deep product expertise by advising a broad set of customers and use cases, including products like Agent Bricks, Vector Search, and Model Serving. You will collaborate cross-functionally with engineering teams to improve the product and interact directly with account teams on specific customer issues. Your proven production troubleshooting and optimization experience will ensure customer workloads run smoothly and achieve their strategic objectives with ML/AI technology on Databricks. You will also be an early adopter of GenAI technology to enhance your own efficiency and amplify the team's output, reporting to a TSE manager within a world-class global support engineering organization.

Salary not listed

NVIDIA is seeking a Senior Performance Software Engineer to join their Deep Learning Libraries team in Shanghai, China. This role involves developing highly optimized code to accelerate linear algebra and deep learning operations specifically for NVIDIA GPUs. The team contributes to critical libraries like cuDNN, cuBLAS, and TensorRT, enabling breakthroughs in AI domains such as image classification, speech recognition, and natural language processing. You will be working on the foundational software that powers AI advancements globally, focusing on achieving peak GPU efficiency for current and future hardware generations. The work involves deep engagement with the GPU hardware and low-level software stack.

Salary not listed

NVIDIA is seeking a Developer Relations Manager to engage with the China industrial and research community. This role involves promoting and integrating NVIDIA's GPU-accelerated computing solutions, with a specific focus on Generative AI and Agentic AI. The ideal candidate is a creative, self-driven technologist passionate about AI and high-performance computing, capable of understanding community requirements, analyzing technical requests, and advising on repeatable solutions. This position is crucial for supporting the Enterprise AI developer community, emphasizing Agentic AI, agent skills, post-training, and platform-level solution development.

Salary not listed

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM Core and Agentic AI. This role involves creating trustworthy and reliable AI systems that enhance customer experiences in banking. You will partner with data scientists, software engineers, and product managers to deliver AI-powered products, leveraging technologies like PyTorch and Hugging Face. The position requires building AI foundation models through all development phases, from design to implementation, and engaging in applied research to push the boundaries of AI for customer-facing applications. You will translate complex technical work into tangible business goals and lead research initiatives that bridge model development with production deployment.

$263k - $300k

Retool

Retool is building the future of internal software development, making it safe and efficient to ship custom applications powered by AI. As AI capabilities expand, the challenge shifts from accessing models to ensuring the reliability, evaluability, and trustworthiness of these non-deterministic systems in production. We are seeking AI Engineers to own this critical problem end-to-end. This role is for individuals who are passionate about managing probabilistic systems, measuring quality amidst variance, and driving continuous improvement without introducing regressions.

$164k - $306k

Abridge

Abridge is seeking an engineering leader to establish and grow its New York engineering presence. This role is a builder's role first, focusing on owning business-critical product areas end-to-end, setting technical direction, and making architectural decisions. The leader will be responsible for scoping and shipping product in an evolving area, growing a team from a small core, and representing Abridge engineering in New York. The position requires hands-on technical involvement to unblock the team and contribute to technical design discussions, alongside a strong point of view on AI and agentic engineering. The ideal candidate will have a track record of building products from inception to scale, driving execution velocity, and fostering a high-quality engineering culture.

$290k - $350k

Handshake is seeking a Senior Software Engineer to join the Backend Platform team, with a primary focus on supporting Handshake AI (HAI) and internal AI initiatives. This role involves building and maintaining backend services, shared platform capabilities, and developer tooling. The work will center on core backend platform concerns such as service architecture, APIs, data systems, performance, reliability, and developer experience, with an increasing use of LLMs and agents. The ideal candidate will possess strong backend fundamentals combined with practical knowledge of LLM-powered and agentic systems.

$208k - $260k

You will join a platform team shaping how agentic systems are built, evaluated, and deployed at scale. This is a deeply hands-on role where you will design core platform capabilities, write production-quality code, and partner across product and engineering to drive adoption. You will help turn advanced agent and generative AI techniques into reliable, reusable building blocks that teams can use to deliver measurable business outcomes. As an Applied Artificial Intelligence and Machine Learning Director, you will build and evolve an Agent software development kit (SDK) and specialized agent capabilities for broad enterprise use, owning key technical decisions, setting practical engineering standards, and delivering critical components end-to-end. You will collaborate with partners across data, platform, and application teams to ensure solutions are scalable, secure, and maintainable.

Salary not listed

OpenAI

OpenAI is seeking a Forward Deployed Engineer (FDE) to lead the end-to-end deployment of its AI models within financial services organizations. This role involves partnering with banks, asset managers, and other financial firms to integrate AI systems into high-stakes environments, focusing on correctness, latency, explainability, and control. You will work closely with customers to translate complex workflows and regulatory requirements into reliable, auditable production systems that deliver measurable business impact. Success will be measured by production adoption, workflow efficiency, risk reduction, and revenue impact, with feedback loops informing product and strategy. This position also plays a key role in shaping OpenAI's financial services offerings by identifying use cases, defining solution patterns, and building scalable deployments.

$185k - $300k

Ironclad is building AI solutions at enterprise scale, focusing on one of the most consequential datasets: over 2 billion contracts. This role involves developing agentic solutions for problems that are still being defined in the contract AI space. The team operates with a short feedback loop, rich data, and empowers individuals to shape the product's direction, enabling rapid impact. Ironclad is recognized as an industry leader in Contract Lifecycle Management and is backed by prominent investors.

$180k - $200k

We are seeking a hands-on Data Engineer to contribute to the development and scaling of our modern data platform. This role involves close collaboration with Finance, Engineering, Product, and Analytics teams to build robust, high-performance data pipelines and systems. You will work with both batch and real-time data processing technologies, ensuring data quality, accessibility, and usability across the organization. A key aspect of this role will be enabling data activation, ensuring high-quality data flows into business tools and powering next-generation AI-driven applications, including agent-based systems, by establishing strong data foundations and pipelines. This is an excellent opportunity for individuals who thrive on solving end-to-end data challenges, from ingestion to insights.

$180k - $220k

Anthropic

As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that power Anthropic's go-to-market operations. You will advance existing agent capabilities to autonomously manage complete motions across sales areas like inbound, outbound, and pipeline management. Additionally, you will develop evaluation frameworks to ensure these agents are ready for customer-facing tasks and deliver tangible value. This senior role involves driving the technical direction for agents and evaluations within the team, owning projects from initial prototyping to production deployment, and collaborating with sellers, RevOps, and platform engineering partners. You will integrate full-stack engineering, including MCP servers and agentic systems, with hands-on evaluation work and contribute to architecting shared platforms for the go-to-market organization.

$320k - $405k

We are seeking a Senior Machine Learning Engineer to join our Clinical Team. In this role, you will be responsible for owning the tissue-class segmentation and labeling models for our ultrasound CT clinical analysis layer, along with the pipelines that support their training and verification. You will retune models as image inputs are updated and clinical indications expand, and define training/evaluation pipelines, datasets, and metrics from the ground up. A key part of this role involves collaborating with data labeling contractors, expert clinicians, and internal teams on labeling specifications, quality control, and dataset versioning. You will also play a crucial part in productionizing models into a versioned, HIPAA-bound analysis service, ensuring reproducible inference, per-prediction confidence, drift monitoring, and safe fallbacks.

$237k - $250k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform customer interactions and associate workflows. You will design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, and governance. The position leverages a broad stack of Open Source and SaaS AI technologies and focuses on inventing and introducing state-of-the-art foundation model optimization techniques to enhance the performance of large-scale production AI systems. You will also contribute to the technical vision and roadmap for foundational AI systems, design and optimize multi-model orchestration pipelines, and establish cost-performance governance for AI systems.

$230k - $262k

Salesforce is seeking an SVP, Research & Insights to lead Research across Experience Design and build a continuous intelligence capability. This executive will integrate research further upstream into enterprise and product strategy, extending evaluation through implementation and production. The role involves leading four key capabilities: Enterprise Experience Intelligence + Foresight, Portfolio Research + Insights, Human-Agent Research, Evaluation + Measurement, and Research Operations + Knowledge. The goal is to shape enterprise decisions with timely, credible, and consequential evidence, ensuring research operates as an enterprise decision system that influences product strategy and investment.

$399k - $453k

Bring your applied research and machine learning skills to a team building modern, high-impact generative AI capabilities. You’ll work in a collaborative environment where experimentation, engineering excellence, and customer focus come together to deliver real outcomes. As an Applied AI ML Senior Associate within the Applied Artificial Intelligence and Machine Learning Data Platforms team, you will help design, develop, and productionize machine learning and deep learning solutions, including generative AI use cases. You will partner closely with product and engineering stakeholders to turn business needs into reliable models, workflows, and platform capabilities, contributing to a scalable platform approach that can support multiple business lines while maintaining strong standards for performance, quality, and usability.

Salary not listed