Work on CUDA Tile (shipped with CUDA 13.1) designing and implementing compiler transformations, MLIR-based dialects and lowering passes, optimizing tile-based kernels across NVIDIA GPU architectures, defining public APIs, and performing performance analysis and general software engineering. Requires 3+ years relevant experience and strong C/C++ skills.

Lead research and development of next-generation formal verification engines and multi-agent AI systems to scale hardware verification (model checking, SAT/SMT, BDDs, theorem proving). Requires 15+ years in commercial/advanced academic EDA tool development, expert Modern C++ skills, deep formal-methods knowledge, and experience with LLMs/multi-agent AI frameworks and RTL/SVA.

Hands-on Staff AI Engineer role within the Data & Intelligence function focused on building semantic retrieval, knowledge graph and inference layers over an Iceberg lakehouse, enabling agentic workflows and production durable workflows. Requires shipping production AI/ML systems, working with Python, SQL/dbt, distributed query engines, vector search/embeddings, observability, and cloud deployment (AWS preferred).

Hands-on senior engineering role responsible for designing, building, and shipping production AI systems: fast semantic and graph retrieval, inference and signal layers over an Iceberg lakehouse, agentic workflows (tool-calling, state, human-in-the-loop), and observability/evaluation. Requires working with Python, SQL/dbt, distributed query engines, vector search/embeddings, agent frameworks (Temporal, LangGraph), and cloud/container deployments (AWS).

Work on designing, implementing, and optimizing GPU algorithms and high-performance ML algorithms for large-scale vector search and database acceleration. Requires strong C++/CUDA/Python skills, performance analysis and benchmarking experience, and 8+ years programming experience.

Embedded Product Data Scientist working with Home Improvement Product Managers to design and analyze experiments, define metrics and instrumentation, build SQL/dbt pipelines and features, and develop/validate statistical and ML models for lending decisions. Remote role in Mexico; requires 5+ years of relevant analytics/data science experience and skills in SQL, Python or R, experimentation, and event instrumentation.

Summer 2027, 12-week Machine Learning Engineer internship (hybrid in San Francisco) at Coinbase. Interns will develop, deploy, and operate production-scale ML models and pipelines, drive an end-to-end research project, collaborate with senior engineers and product teams on blockchain/crypto ML use cases, and present results. Role requires a Ph.D. candidate with published or in-progress ML research.

Coinbase is hiring a Data Science Intern for a 12-week summer 2027 internship (hybrid, New York). The intern will collaborate with product and engineering teams to build analytics models and pipelines, support A/B tests and causal inference work, and translate analyses into actionable recommendations. Required background includes coursework or projects in statistics/quantitative fields and familiarity with SQL and Python.

Doximity is hiring a Senior Data Scientist (Remote within the United States or San Francisco) to analyze large clinician datasets, build product and client-facing analytics, and influence data team strategy. Requires at least 4 years' experience, advanced statistics knowledge, proficiency in SQL and Python, and experience with distributed data processing (e.g., Spark) and data visualization/storytelling.

Join ClickUp's Search team to own the full ML lifecycle for ranking and retrieval across a multi-tenant platform. Responsibilities include training, deploying, and serving ranker models; building hybrid (lexical + vector) retrieval (including HNSW and disk offloading); running large-scale embedding inference; and building permissions-aware retrieval, indexing, and evaluation frameworks. Requires 5+ years of ML engineering experience focused on ranking or information retrieval.

Join GitLab's Trusted Agentic Development team to own the architecture and prototypes that close the validation gap for AI agent–authored code. Design mid-loop feedback, build language-aware validation approaches (starting with Rust, Ruby, and Go), collaborate across teams, and measure adoption and trust in an all-remote environment. Poland base salary range provided.

Role is the primary technical expert supporting EMEA AI organizations on large-scale training, post-training and alignment of neural networks (including MoE models). Requires MS/PhD or equivalent and over 7 years practical experience in distributed AI training with multi-node GPU clusters; strong proficiency with frameworks such as Megatron-LM, NeMo and PyTorch. Poland base salary range provided.

Role focuses on independent validation and ongoing monitoring of Transaction Monitoring, Customer Risk Assessment and Screening models (including AI models), ensuring regulatory compliance (e.g., EU AML/CFT Directives, US BSA/AML, FATF), conducting risk assessments, producing validation and compliance reports, and collaborating with model owners and AML/CFT subject-matter experts. Requires a quantitative degree, 5+ years' relevant experience, and proficiency with Python/R/SQL and data visualization tools.

Remote staff security researcher role focused on identifying, validating, and remediating novel and systemic vulnerabilities in GitLab's DevSecOps platform, including AI agents and workflows. Requires 7+ years in security research or offensive roles, hands-on exploit development, proficiency with one or more of Ruby, Go, Python, TypeScript, or Rust, and experience with AI attack vectors. Position reports to the Senior Manager of Application Security; US base salary range listed.

Paid internship for students in quantitative fields to work with engineers, designers, and executives on problems at the intersection of math and applied AI (agent reasoning, systems optimization, developer tooling). Candidates must be currently enrolled in a Bachelor's, Master's, or PhD program with at least one semester remaining and demonstrate strong mathematical ability (e.g., IMO/IOI) or advanced quantitative work.

Sardine seeks a Senior Applied AI Research Scientist to design and execute foundation-model research and take models from pretraining through fine-tuning and production deployment for fraud and risk use cases. Requires 4+ years in applied ML or ML engineering, hands-on self-supervised pretraining and production experience with model serving, strong Python and SQL skills, and experience working with large-scale datasets. Remote role for candidates based in the United States or Canada.

Lead technical direction for synthetic dataset generation across text, code, structured, and multimodal data within NVIDIA NeMo. Build and scale LLM-based data pipelines, advance multimodal and privacy-preserving synthesis, develop open-source SDKs, publish research, and mentor team members. Requires PhD or equivalent and 15+ years of relevant engineering and research experience. Salary range: 272,000–431,250 USD/year.

Stitch Fix is hiring a Senior Full-Stack Data Scientist for the Growth Algorithms team (remote, US). The role involves end-to-end ownership of ML work — research through production deployment — using both LLMs and traditional ML to improve client acquisition, retention, and reactivation. Responsibilities include experiment design and analysis, Next Best Action modeling, CRM and paid-media optimization, and collaborating with product, design, and engineering. Requirements include a quantitative degree, 5+ years designing and deploying ML algorithms (preferably in retail personalization/recommendation), production-grade Python development, experience with large-scale distributed datasets, and experimentation/A/B testing expertise.

Twilio is hiring a Staff Security Engineer on the Threat Detection and Response team to design and build detection tooling, automate response (SIEM/SOAR), perform threat hunting (including AI-related threats per MITRE ATLAS), participate in incident response and on-call rotations, and work with cloud platforms (AWS/GCP) and infrastructure-as-code (Terraform/CloudFormation). The role is remote within the US (some states excluded) and requires 3+ years of security engineering experience in production cloud environments.

Lead end-to-end ML system development and provide technical leadership and mentorship across teams. Responsibilities include model design, data sourcing and labeling strategy, model serving and deployment, defining architectural guardrails, cross-functional collaboration with product and engineering, external partnership, and representing Thorn externally. Requires 8+ years in ML/AI, with 3+ years building production-scale computer vision and/or NLP systems; advanced degree or equivalent experience.