Join as a Senior Data Scientist to develop and deploy ML algorithms (supervised, semi‑supervised, unsupervised) for Fingerprint’s real-time identification platform. Responsibilities include designing experiments, real-time inference and model-to-service integration, EDA, and participating in shared on-call rotation. Requires 5+ years of experience, strong ML and software engineering skills (SQL, Git, CI/CD), and fluent English.

NVIDIA seeks PhD students for research internships in embodied and agentic AI topics including perception, agentic reasoning, multi-modal and continual learning. Interns will research, design, and implement methods, prototype on state-of-the-art hardware, and collaborate with mentors and product/engineering teams. Required: current PhD enrollment, strong AI and computer vision/LLM knowledge, programming in Python or C++, and familiarity with frameworks like PyTorch.

The role develops, tests, and maintains core materials-aware ML functionality (Python/Scala) for Citrine’s platform, collaborating across product and research teams. Responsibilities include prototyping new ML models, improving interpretability and inverse design, writing production-quality code, and publishing research. Salary range listed: $182,000–$210,000 USD per year for full-time US-based employees.

Chainguard seeks an Engineering Manager to own a portfolio (Guardener, hardened GitHub Actions, Chainguard Agent Skills, microVM-based products), hire and grow a small engineering team, stay technically hands-on (code/PR review, prototyping), and partner with Product. Requires 2+ years managing engineers, strong technical background, proficiency or readiness to ramp in Go, and experience with CI/CD, developer tooling, containers, Kubernetes, cloud infrastructure, and AI tooling. Base salary range listed: $229,000–$258,000 USD.

Senior Statistician role responsible for evolving program impact measurement, developing performance benchmarks, advising on study design and advanced modeling, mentoring analytics staff, managing third-party vendor relationships (e.g., IQVIA), and presenting results to clients and internal stakeholders. Requires 10+ years in quantitative/statistical roles within healthcare or related industries and strong SQL and Python proficiency.

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences (IFX) team to design, develop, deploy, and support foundation-model and LLM-based production systems (including inference, training, agents, similarity search/VectorDBs, model routing, caching, orchestration, observability, evaluation, and governance). Role emphasizes performance and cost optimization, multi-cloud resilience, responsible AI, and cross-functional technical leadership. Remote-eligible; employer may sponsor work authorization.

Hands-on Senior Staff Data Engineer role leading technical strategy for pipelines and external data within Enterprise Data. Responsibilities include designing and coding enterprise-scale data solutions, driving adoption of modern data technologies, mentoring engineers, and shaping data architecture. Required: bachelor’s degree, at least 9 years in data engineering, 5 years in data architecture, 3 years building in AWS, 7 years programming with Python/Java/Scala, and experience designing data pipelines and data modeling. Capital One may sponsor employment authorization. Annual salary ranges listed (location-dependent).

Responsible for end-to-end partner operations and process improvement, building and deploying AI agents and automated workflows, and owning partner-facing systems (Salesforce, Jira, Partner Portal, Crossbeam). Requires 5+ years in business systems/sales operations or partner management, strong technical fluency with AI tooling and automation platforms, and experience building reports, dashboards, and cross-system reconciliations.

Thunderbird seeks a Staff Product Engineer for Thunderbolt (enterprise AI). The role focuses on full-stack development (TypeScript/JavaScript, component-based front ends, APIs, backend services), diagnosing and fixing issues across application and infrastructure layers, supporting partner-hosted and customer-controlled deployments, and producing documentation and runbooks. Experience with LLM/RAG/agents, enterprise deployment concerns (authentication, identity, observability, reliability), and customer-facing implementation work is required. This is a remote, full-time position for candidates residing and authorized to work in Canada.

Join Thunderbird’s Thunderbolt team as a Staff Full‑Stack Product Engineer to build and ship front-end and back-end features, integrations, and customer-specific customizations for enterprise AI deployments. The role works directly with technical partners and enterprise customers to deploy, stabilize, and maintain pilot and production environments, diagnose complex cross-stack issues, and convert recurring needs into product capabilities. Requires 10+ years of professional software engineering experience and strong full‑stack skills (TypeScript/JavaScript, component front ends, APIs), plus experience with AI-enabled applications and enterprise deployment concerns.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve ML training and serving efficiency at scale. Requires 5+ years software engineering experience, strong Python skills, experience with distributed systems and ML infrastructure, and familiarity with GPU performance, distributed training frameworks (PyTorch Distributed, Ray, TensorFlow, Spark), and systems languages (Go/C++/Rust/Java).

Proofpoint is hiring an Agentic AI Engineer to create end-to-end reference agentic applications, establish best practices, design eval harnesses, and harden prototypes into reusable platform capabilities. Requires 3+ years engineering experience with LLM/agentic systems beyond prototypes, solid Python (TypeScript/Node a plus), experience with cloud microservices (containers, CI/CD, AWS a plus), and familiarity with tracing/metrics and OpenTelemetry. Location: Argentina - Remote.

Senior-level contractor to assess quality of interactions with AI coding agents (Codex, Claude Code, Cursor). Responsibilities include end-to-end evaluation of AI-generated coding interactions, judging usefulness and engineering reasoning, providing written feedback and short video explanations. Requires strong experience with TypeScript/JavaScript or Python, hands-on experience with at least one listed coding agent, deep familiarity with AI-assisted developer workflows, and strong written/spoken English (B2+).

Remote, part-time (10–20 hrs/week) contractor position to evaluate interactions with AI coding agents (Codex, Claude Code, Cursor). Responsibilities include judging usefulness, high-level correctness, explanations, and engineering judgment; providing written feedback and short video walkthroughs. Requires senior/staff/principal-level experience, strong TypeScript/JavaScript or Python background, hands-on experience with at least one named coding agent, and strong written/spoken English (B2+). Rate: $100–$200/hour.

As an Applied Science intern you own end-to-end machine learning projects: data exploration, feature engineering, training, benchmarking, deployment, and monitoring. The role expects strong ML fundamentals, Python and SQL proficiency, experience curating datasets and evaluating models, and the ability to work with product and business stakeholders. Monthly compensation is $12,500 USD plus a housing stipend; relocation expense coverage to NYC or SF is available if needed.

Work within cross-functional teams to deliver client-facing analyses and build reusable data products, applying modern machine learning techniques (PyTorch/TensorFlow) and distributed data processing for large-scale model training. Requires at least 4 years of professional data science experience, advanced SQL and Python skills, strong statistical knowledge (exploratory analysis and experimental design), and the ability to translate technical insights into clear narratives for stakeholders.

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences team to partner with cross-functional teams to design, implement, and operate scalable, responsible AI systems (foundation model training, LLM inference, agentic workflows, similarity search/VectorDBs, guardrails, evaluation, and observability). Requires advanced experience in AI/ML systems, cloud platforms, performance optimization, and technical leadership (basic quals: BS + 8 years experience or MS + 6 years).

Lead and grow an established Machine Learning & AI team at Thorn, set technical strategy, ensure production-ready ML systems with attention to privacy, security, and responsible AI, partner across Product and Engineering, and represent Thorn externally. Remote (US-based) role with some travel; reported compensation range $188,000–$302,450/year.

Seeking a Senior AI Security Engineer with 5+ years of experience in security engineering, application security, AI/ML engineering, or security architecture. Responsibilities include leading security reviews and mitigations for AI/LLM systems, assessing AI-specific risks (e.g., prompt injection, data exposure, model/data supply chain), building evaluation and automation tooling (Python), and working with modern AI stacks and at least one major cloud platform (AWS, GCP, or Azure). Familiarity with AI security/governance frameworks and experience in red teaming, production deployments, or security operations is preferred.

Senior Software Engineer (AI) responsible for delivering scalable, maintainable, and reliable software; leading implementation and architecture initiatives; mentoring engineers; partnering with Product, QA, and DevOps; and supporting operational excellence. Requires 5+ years of software engineering experience and expertise in C#, .NET/.NET Core, React.js, TypeScript/JavaScript, SQL, APIs, cloud-native development, AI development tools/methodologies, distributed systems, and CI/CD.