Develop and optimize GPU-accelerated AI inference serving software, drive convergence of Triton and Dynamo stacks, and contribute to open source. Requires MS/PhD or equivalent experience, 5+ years on deep learning software, strong Rust and C++ skills, familiarity with Python, and experience with high-scale distributed and ML systems.

Join Zapier's AI Platform team to develop core systems and tooling (LLM proxy, platform APIs, observability, evaluation workflows) that enable teams to build with large language models and ML in production. Role focuses on LLM Ops and ML Ops, reliability, performance, safety, cost efficiency, and making reusable platform capabilities in TypeScript and Python.

Lead design and implementation of search relevance, retrieval, ranking, and ML-driven search features (including LLMs and RAG). Requires 10+ years experience in large-scale search/recommendation systems, proficiency with PyTorch or TensorFlow, production LLM experience, and programming in Python and/or Golang. Remote role for United States-based candidates.

AE Studio is hiring an Applied AI Data Scientist to build data-driven solutions across client projects and internal research, including LLM lifecycle work (prompting, RAG, vector DBs, fine-tuning) and ML across tabular, time-series, NLP, and vision. Requires strong Python skills, deep learning experience (PyTorch/TensorFlow/JAX), statistical and causal ML fundamentals, and effective English communication; remote-first with the option to work from a Florianopolis office in Brazil.

Join MongoDB’s Code Gen team to lead architecture and implementation of code transformation workflows that leverage GenAI and LLMs to modernize legacy relational-database applications into microservices on MongoDB. The role expects 8+ years of software development experience, expertise with relational databases (Oracle, MySQL, SQL Server, PostgreSQL), code analysis/refactoring and automated testing, and experience integrating AI at scale. Remote (North America); U.S. base salary range $137,000–$270,000 USD.

Join Tide as a Staff-level Backend/Platform Engineer working on the agentic platform. Responsibilities include building core services (APIs, workflow orchestration, tool integration), productionising shared AI capabilities with product, data, platform and security teams, and designing reliable, secure, observable services. Location: Bulgaria. Tech stack examples: Java, Spring Boot, JOOQ, SNS/SQS, Kafka, MySQL/Postgres (RDS/Aurora), AWS, Docker, Terraform, EKS, DataDog.

Tide is hiring a Staff-level Backend/Platform Engineer (AI) to design and build core services for an agentic platform—APIs, workflow orchestration, third-party tool integration, and shared AI capabilities. The role emphasizes reliability, security, observability, developer usability and productionising AI across the enterprise. Tech stack includes Java/Spring Boot, event-driven systems (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform, EKS, and monitoring/CI tools. Role is remote-first with presence in Tide's Serbia technology centre.

Lead research initiatives in computer vision, multimodal understanding, and visual generation; develop and deploy large-scale vision and multimodal foundation models; collaborate with applied scientists, ML engineers, and product teams; mentor scientists and engineers. Requires ~8+ years experience and strong expertise with transformers, diffusion models, contrastive learning, Python, PyTorch, and TensorFlow.

Lead the Conversion Modeling team at Reddit (remote in the U.S.), owning technical vision and execution for production-scale conversion prediction models (ranking/recommendation). Requires deep ML and deep learning expertise, experience with TensorFlow/PyTorch, data pipelines, production model lifecycle, and at least 2+ years managing or tech-leading ML engineering teams. Posted salary range: $230,000–$322,000 USD per year.

Principal role to define roadmaps and lead design of communication libraries (NCCL, UCX, UCC, NVSHMEM, MPI) and collective algorithms for trillion-parameter models; requires 12+ years in HPC/distributed deep learning, expertise in RDMA/RoCE/InfiniBand, CUDA/GPU memory hierarchy, 3D parallelism and inference/serving technologies (e.g., TensorRT-LLM, vLLM). Salary range provided: 272,000–431,250 USD/year.

Lead technical subject-matter expert responsible for designing developer tools, APIs, and workflows for chemistry and materials science, translating ML and simulation research into production software, prioritizing features across teams, and representing NVIDIA at scientific venues. Requires a PhD or equivalent, 8+ years building AI/ML software for chemistry or materials applications, strong GPU and ML framework experience, and deep knowledge of interatomic potentials, generative modeling, and quantum chemistry workflows.

Senior Solutions Architect II focused on cloud infrastructure and AI/ML who will perform architecture reviews, proofs of concept, demos, and technical consultations to retain and grow DigitalOcean's large customers. Requires expertise in AI/ML frameworks, LLM/GenAI deployment, GPU optimization, Kubernetes, Terraform, Docker, Linux, and working in post-sales/consultative roles. This is a remote role.

NerdWallet is hiring a Staff Data Scientist to design and scale causal inference and personalization systems (incrementality, uplift, DML, IVs, DiD, synthetic control), build and operationalize LTV and real-time decisioning models, and ship production-grade ML that drives marketplace and monetization outcomes. The role partners with Product, Engineering, Marketing, and Finance, mentors senior data scientists, and influences ML platform and instrumentation decisions. Requires 8+ years of applied ML/causal/experimentation experience and strong production ML and engineering skills.

Hands-on senior role to design, build, and deliver production Gen‑AI systems end-to-end (UI, backend, deployment). Responsibilities include implementing RAG, tool-calling, agent workflows, prompting patterns, evals, and guardrails; configuring CI/CD and environments; and ensuring security, auditability, and PII-aware handling. Strong JavaScript/TypeScript experience and familiarity with React/Next.js, Node.js, Postgres, vector stores, and cloud platforms are required.

Manage analytical service operations for mortgage and tenant screening businesses across the US, leading a team of data scientist consultants. Design and develop software and statistical/predictive scoring models (regression, classification, decision trees), use SQL and visualization tools (Tableau, Spotfire), and provide training and mentorship to direct reports.

The Sr. Distinguished Machine Learning Engineer will define technical strategy and build production-grade, low-latency personalization and recommendation systems, end-to-end ML pipelines, MLOps tooling, and LLM optimization techniques. Role requires extensive experience with distributed computing, cloud platforms (AWS/GCP/Azure), containers and orchestration, ML frameworks (PyTorch/TensorFlow), and leading cross-functional technical initiatives. Capital One may sponsor employment authorization.

Entry-level Deep Learning Software Engineer role (New College Grad 2026) working on TensorRT and related inference frameworks. Requires a relevant degree, about 2 years of software development experience, strong C++ and Python skills, experience with DL frameworks (PyTorch/JAX/TensorFlow/ONNX) and inference libraries, and expertise in performance analysis and optimization for GPU-based inference.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

Senior Staff Machine Learning Engineer to define and lead Reddit’s GenAI Platform vision, design and operate a unified LLM Gateway (APIs, rate/token limits, failover), set MLOps/LLMOps standards (CI/CD, testing, versioning, evaluation), and drive platform architecture for scalability, reliability, and observability. Requires 10+ years experience and deep production experience with Kubernetes and cloud ML infrastructure.

Hands-on Senior Data Scientist role (remote, based in Romania) responsible for end-to-end analytical solutions: extracting data from BigQuery and MariaDB, building pipelines and automation with Python and SQL, applying statistical and ML methods (regression, clustering, time series, A/B testing), serving models/APIs (FastAPI), and using AI-powered tools (Windsurf, Gemini, Claude, Cursor). Requires 7+ years of relevant experience, expert SQL, production-quality coding, data architecture expertise, strong communication skills. MariaDB does not sponsor work visas or relocation; travel may be required ad hoc.