Work on AI-native, adversarial anti-abuse problems: design LLM guardrails, build and operate ML/LLM-based detection and automated response systems, investigate abuse patterns using BigQuery/Hex, integrate security scanners in CI, and collaborate with Support and Legal. Requires 4+ years in security engineering/anti-abuse/fraud, strong Python and/or TypeScript, SQL/data analysis experience, and familiarity with prompt injection and common attack patterns.

Seeking a Senior Backend Engineer with 7+ years' experience (3+ years with Ruby on Rails preferred) to build scalable APIs and backend systems, optimize PostgreSQL-backed services, work with tools like Redis/Sidekiq, and collaborate in a remote team across Europe and Latin America. Familiarity with vector databases, AI/ML services, automated testing and cloud platforms (AWS/GCP/Azure) is desirable.

Quora is hiring a Machine Learning Tech Lead to work on feed personalization and recommendation systems for the Quora product. The role requires end-to-end ownership of ML systems (data pipelines, candidate extraction, feature engineering, model training, production integration), 7+ years of ML software development experience, and 4+ years building home feed recommendation systems. Remote role with coordination hours Mon-Fri 9am–3pm Pacific Time.

Join NVIDIA’s Earth-2 effort to develop and maintain scientific ML frameworks (PhysicsNeMo, Earth2Studio) for weather, climate, and earth system modeling. Responsibilities include implementing and validating ML methods, integrating features, and advancing GPU/HPC-enabled workflows. Requires a BS/MS (PhD preferred) in a technical field, 5+ years relevant experience, strong Python, familiarity with containers and numeric libraries, deep knowledge of DNN architectures and major deep learning frameworks (PyTorch, TensorFlow, JAX), and experience applying ML to weather/climate problems.

Role involves building high-performance compiler and runtime components to map large-scale neural network inference workloads to NVIDIA platforms. Requires hands-on experience with compiler/runtime development (LLVM/MLIR), systems-level programming (C++/Rust), deep learning frameworks (TensorFlow/PyTorch/ONNX), and performance profiling/optimization. Minimum 5 years relevant experience and MS/PhD or equivalent experience.

Design, build, and maintain AI infrastructure software and tools for large-scale pre-training, post-training, and inference. Responsibilities include improving efficiency and resiliency, co-designing APIs with resiliency stacks, defining reliability metrics, and performing root-cause analysis from application to hardware. Requires 8+ years experience, proficiency in Python and C/C++, experience with observability platforms (ELK, Prometheus, Loki), distributed systems, AI training/inference infrastructure and strong debugging skills.

Lead AI Engineer on the Data Platform & Services team responsible for designing scalable agentic orchestration frameworks, building NLQ/self-service natural language query solutions, developing LLM and prompt evaluation frameworks, and integrating AI orchestration with Python/SQL/Snowflake data pipelines. Annual base salary range: $151,500–$215,500 USD.

Ramp is hiring a Data Scientist to lead analytics efforts by building data products, models, reports, and dashboards; collaborate with product, engineering, design, and business stakeholders; and drive experimentation and data-informed decision making. The role requires a minimum of 4 years' industry experience, strong SQL skills, and familiarity with BI tools and modern data stack components.

Work on design and training of generative, imitation, and reinforcement learning models to improve planning and reasoning for autonomous driving; build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world deployment; explore data generation strategies; collaborate to deploy production-grade, safety-critical ML integrated with vehicle firmware. Requires strong Python and C++ skills, experience with deep learning frameworks, and demonstrated deployment of ML at scale. Education/experience: PhD +4 years or MS (or equivalent) +6 years in a related technical field.

New college grad (2026) position building ML and AI systems for circuit design and design automation (VLSI/ASIC/EDA). Work includes silicon data analysis, SPICE correlation, circuit optimization, design-space exploration, and integrating models with ML and visualization tools. Requires a Master's or PhD (or equivalent experience) and proficiency in Python and C++.

Work on integrating communication-library features (NCCL, NVSHMEM, GPUDirect) into AI frameworks (PyTorch, JAX, TRT-LLM, vLLM, SGLang), perform workload performance characterization on multi-GPU clusters, author fused compute/communication kernels, and influence communication library roadmaps. Requires 5+ years of software engineering and HPC/AI experience and expertise in CUDA/C++, Python, performance profiling, and distributed/parallel programming concepts.

Join CrowdStrike as an AI Platform Engineer to implement and scale AI infrastructure for internal agentic systems in AWS/GCP, integrate identity (Okta, OAuth2/OIDC), containerize workloads (Docker/Kubernetes), collaborate on Terraform-based production architectures, enable CI/CD and observability/telemetry for LLM-driven workflows, and evaluate new AI vendors and technologies.

Veeva is hiring a Technical Product Manager with 5+ years of enterprise software/product or engineering experience (at least 2 years on AI/ML) to design, prototype, and deliver production AI Agent applications. The role requires Python coding, experience with AI frameworks/APIs, data flow design, model integration, LLMs, and close collaboration with engineering and UX; life sciences experience is a plus.

Veeva seeks a Technical Product Manager (Boston, MA / Work Anywhere) to design, prototype, and deliver production AI Agent applications for life-sciences domains (submissions, clinical, drug safety). Requires 5+ years enterprise software product/engineering/consulting experience (at least 2 years in AI/ML), Python coding, experience with AI frameworks/APIs, data flow design, model integration, LLMs and prompt engineering. Base salary range listed: $75,000–$165,000.

Work on end-to-end production search and ML/AI services: design architectures, build scalable web services and data pipelines, deploy and monitor solutions, and mentor junior engineers. Requires 7+ years' experience, expert-level Python, search and clickstream analytics; experience with Elasticsearch, vector search, recommendation engines, Redis, and cloud (e.g., AWS) is a plus.

Responsible for end-to-end development of production search and ML services, including defining approaches for NLP and information retrieval, building data pipelines and scalable web services, testing, deploying, monitoring, mining usage data, and mentoring junior engineers. Requires expert-level Python and 7+ years building scalable, reliable search applications; English required.

Lead and grow a team (4+) of Data Engineers to design and build scalable, resilient data pipelines and platforms for Veeva Link. Role requires hands-on technical leadership (code reviews, architecture), experience with Apache Spark, AWS (including Redshift), ETL/ELT, data lakes/warehouses and managing complex dependencies in distributed systems. Requires 3+ years leading engineering teams and strong English communication. Nice-to-haves include Scrum/Kanban, life sciences domain experience, and end-to-end AI pipeline architecture.

Join Veeva Link as a Data Engineer responsible for designing, implementing and operating Spark-based data pipelines and parts of the data processing platform. Work involves JVM-based languages or Python, cloud software (AWS/GCP), observability and close cooperation with data science to operate ML models. Total compensation listed: 65,000 - 110,000 EUR.

Upwork invites candidates to join its Talent Community to hold resumes for future openings. The company is remote-first and notes it currently hires full-time employees in 34 U.S. states. Roles span areas including AI & machine learning, software development, sales & marketing, customer support, and finance & accounting. Benefits mentioned include comprehensive medical coverage, unlimited PTO, a 401(k) with matching, 12 weeks paid parental leave, and an Employee Stock Purchase Plan.

Twilio is hiring an L3 Machine Learning Engineer to design, build, and operate scalable data pipelines, feature stores, and MLOps workflows for real-time and batch workloads. Requires 3–5 years of production experience with Python, SQL, ETL orchestration (Airflow/Dagster), cloud data warehouses (Snowflake/BigQuery/Redshift), ML lifecycle tooling (MLflow/SageMaker/Vertex AI), Docker/Kubernetes, and at least one major cloud (AWS/GCP/Azure). Role is remote in the US with some state exclusions and occasional travel.