NVIDIA seeks a Senior Scientist to advance synthetic data generation and privacy-preserving AI within the NeMo ecosystem. Responsibilities include building LLM-based anonymization and synthetic-data methods, optimizing inference (distillation, quantization) for low-latency/high-throughput, maintaining open-source SDKs, driving software engineering practices, and publishing research. Requires PhD or equivalent and 2+ years of applied LLM/NLP research/engineering experience.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.

The Data Scientist will develop algorithms and ML models (including NLP, LLMs, recommendation systems, and agentic workflows) to generate people-related business insights, own the end-to-end MLOps lifecycle, and deploy production models. The role requires collaboration with IT and business partners, presenting results to non-technical stakeholders, and maintaining reusable, version-controlled code and documentation. Minimum 3 years of data science experience is required; proficiency in Python, SQL/BigQuery, Git, and tools such as Tableau, Kubeflow or MLflow is preferred.

NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to create executable C++ models, drive component- and system-level architectural specifications, and resolve performance/correctness issues across hardware subsystems. Requires a BS or higher (or equivalent), 5+ years relevant experience, expert C++ skills, and experience with RTL/chip design concepts. Location: US (multiple states) with remote/hybrid options. Base salary ranges provided for levels 3 and 4 (152,000–241,500 USD and 184,000–287,500 USD respectively).

Senior engineering role on Reddit’s Onboarding team (Remote - United States). Responsible for defining and implementing backend architecture for signal collection, personalization pipelines, and experimentation infrastructure; partnering with ML, Feeds, Relevance, and other teams; and driving reliability, scalability, and measurable growth through A/B testing and instrumentation. Minimum 7 years experience. Base salary range listed: $217,000–$303,000 USD (base, annual).

Lead research on video deepfake detection and real-time video processing, translate prototypes into production systems, publish research and patents, and mentor junior researchers. Requires PhD (or equivalent), 3+ years professional research experience in deep learning/computer vision, strong Python and ML framework skills (PyTorch, TensorFlow/Keras), and experience with model deployment on cloud or edge. US base pay range listed: $185,000–$215,000 USD/year.

Join Reddit's Notifications Relevance team to design and build end-to-end, large-scale recommendation systems for notifications (push, email, in-app). Responsibilities include candidate retrieval, ranking, budget optimization, integrating and deploying LLMs, monitoring, cross-functional collaboration, and mentoring senior engineers. Remote (United States). Base salary range: $266,000–$372,400 USD per year.

Hands-on lead role responsible for driving proof-of-concept ML engagements with enterprise and financial customers, building production-ready fraud/risk models, mentoring data scientists, partnering with Engineering/Product/GTM, and measuring outcomes. Requires 10+ years in fraud/risk data science, 3+ years managing direct reports, and strong Python/SQL skills.

Reporting to the Chief Product Officer, this customer-facing VP will define and execute AI strategy across AI Labs, Pacvue Agent, and production ML/AI, scale and lead the global AI/Data Science organization, and partner across Product, Engineering, GTM, and customers. Requires 10+ years of experience in AI/ML/Data Science or related fields, and willingness to travel (including regular trips to China). Annual base salary range: $250,000–$310,000 USD.

Lead technical authority on relevance metrics and evaluation for feeds, search, and recommendations. Develop metrics frameworks and offline/counterfactual evaluation methods, design and analyze experiments accounting for network effects, partner with ML and product teams to translate model performance into user impact, and mentor other data scientists.

Pindrop seeks a Research Scientist II to conduct and translate research into production-ready ML solutions for real-time video processing, face recognition, and deepfake detection. Requires a PhD or equivalent experience, 3+ years in deep learning/computer vision, strong Python skills, and experience with frameworks such as PyTorch or TensorFlow. Position is remote (US) and includes a listed US base pay range.

AE Studio seeks an Alignment Scientist/Engineer to spend ~100% of time on alignment R&D (model safety, interpretability, pretraining interventions, etc.). Candidates should be experienced in ML or alignment research, proficient in Python and PyTorch, familiar with building/training/evaluating deep learning models and calling model APIs. Remote-first with an LA office; US salary range $180,000–$240,000.

NVIDIA is hiring a Developer Advocate for distributed training who will create demos, blogs, presentations, and code to support developers/researchers. The role involves designing and implementing distributed learning and post-training pipelines for LLMs/VLMs, optimizing training efficiency, and engaging community channels; travel is approximately 20%. Salary ranges are provided for different levels (USD 152,000–241,500 for Level 3; USD 184,000–287,500 for Level 4).

CrowdStrike seeks a Principal Data Engineer for its Data Science Platform Engineering team to design, implement, and operate scalable, fault-tolerant data platforms and pipelines for LLMs, RAG, and agentic systems. The role requires deep hands-on experience with LLM engineering, distributed data processing, cloud data services, containerization, streaming, MLOps/DataOps practices, and mentoring/technical leadership. The posting specifies a minimum of 10+ years in data/platform engineering and provides U.S. and Canadian base salary ranges.

Hands-on AI Engineer role on GitLab's Enterprise Technology & AI team to diagnose business workflows, design practical AI interventions (LLMs, prompt engineering, RAG, agent patterns), integrate solutions into enterprise systems, and measure outcomes using flow and business metrics. Role is remote (US) and the posted US base salary range is $108,400–$129,600 USD per year.

Lead the engineering team within NVIDIA's Dynamo organization to advance AIPerf (an open-source inference benchmarking platform). Responsibilities include driving core infrastructure (load generation, ZMQ microservices, GPU telemetry, Prometheus, statistical confidence intervals, Kubernetes-native deployment), advising integrations with vLLM/TRT-LLM/SGLang, and hiring/mentoring senior engineers. Requires 8+ years software engineering experience and 3+ years engineering leadership.

Senior data science leader role requiring 10+ years in data science/ML engineering and 4+ years managing teams. Responsibilities include setting multi-team roadmaps, mentoring, overseeing statistical modeling, experiment design, classifier implementation, LLM/AI work, improving data pipelines, and ensuring privacy-aware analytics across product and revenue areas. Position is remote with listed country eligibilities and includes an annual compensation figure disclosed for the US.

Lead the Styling Algorithms team at Stitch Fix to drive ML- and AI-driven personalization (including client-facing features like virtual try-on). Role oversees end-to-end algorithm development, production deployment, experimentation (A/B testing), and cross-functional product work. Requires 5+ years building and deploying AI/ML solutions, 2+ years managing or leading technical teams, and production Python and cloud/distributed systems experience. Salary range for US hires: $200,000–$246,000 USD per year.