Stitch Fix seeks a Senior Manager for its Foundational Models team to lead machine learning engineers and data scientists in building and deploying core scoring, ranking, and recommendation algorithms that power personalization. The role involves end-to-end model development, experimentation (including online A/B testing), collaboration with cross-functional stakeholders and executive leadership, production-grade coding (ideally Python), and team leadership. Requires a quantitative Bachelor's degree and 5+ years of machine learning experience plus 2+ years of direct people management.

Work with the founding team and engineers to design, train, evaluate, and productionize ML models (including language models). Build and maintain ML pipelines, run iterative experiments, optimize model performance (fine-tuning, hyperparameter search), and translate research advances into production-ready systems. Requires 4+ years' industry or research experience, strong Python and PyTorch/TensorFlow skills, and familiarity with MLOps tooling.

Senior technical leader responsible for evolving architecture and engineering practices for Raft’s [R]AIMS AI platform. Requires 6+ years building production software across full stack, hands-on experience with Kubernetes and cloud-native systems, and experience deploying ML-enabled, data-intensive systems. U.S. citizenship required; must be eligible for Top Secret/SCI. Remote within the U.S. with up to 25% travel; salary range $180,000–$230,000.

Enterprise-wide senior leadership role reporting into Revenue Operations to define and execute Elastic's Field Technology & AI strategy. Owns four teams (Engineering, Data Science, Customer Data Strategy, Application Administration) to productize and operationalize AI use cases across GTM (examples: account scoring, next-best-action, seller copilots). Requires 12+ years' experience (including 7+ years in senior leadership). Based in the United States. Typical starting salary range: $212,100–$335,600 USD per year.

Role involves architecting and deploying agentic GenAI/LLM solutions for telecommunications network operations (telemetry, logs, SNMP, NetFlow/IPFIX, time-series), enabling NVIDIA Telco partners on NVIDIA AI stacks (Morpheus, RAPIDS, NeMo, NIM), and providing technical guidance for production integration. Requires 6+ years building and deploying AI/ML systems, strong Python and PyTorch experience, and familiarity with telecom data and related tooling.

Profile and optimize end-to-end neural reconstruction workflows (data loading, training, rendering) using PyTorch and CUDA; translate Python/NumPy/PyTorch bottlenecks into efficient CUDA/C++ or PyTorch-native implementations; build benchmarks, regression tests and profiling workflows. Role requires 12+ years experience and strong skills in Python, C++, PyTorch, and CUDA.

Experienced engineer (8+ years) to design and operate LLM-based guardrails and detection systems, automate enforcement and response, analyze abuse patterns (BigQuery/Hex), and integrate security tooling in CI. Role is full-time based in Foster City, CA with an in-office requirement three days per week.

Senior engineering role on the Risk team focused on designing and operating abuse detection systems (phishing, cryptomining, account takeover, fraud) using LLMs and traditional techniques. Responsibilities include building LLM guardrails, ML/LLM classifiers, integrating security scanners in CI, analyzing data (BigQuery/Hex), and owning detection-to-enforcement workflows across Security, Support, and Legal. In-office in Foster City, CA with a 3-days-per-week on-site requirement.

Replit is hiring a Staff Software Engineer for Trust & Safety to design and operate AI-powered abuse detection systems and automated responses for threats such as phishing, cryptomining, account takeover, and financial fraud. The role requires owning detection and enforcement end-to-end, building LLM guardrails, analyzing large-scale data (BigQuery/Hex), integrating security scanners in CI, and collaborating with Support and Legal. Requires 8+ years in security engineering/anti-abuse/fraud detection and strong skills in Python or TypeScript, SQL, and ML/LLM-based classifiers. Location: Foster City, CA (full-time, hybrid with specified in-office days).

Full-time Senior Software Engineer on Replit's Fraud team (based in Foster City, CA; in-office M/W/F). Own end-to-end abuse detection and response: design and implement LLM-based guardrails and classifiers, build AI-powered detection systems, integrate security scanners into CI, and automate enforcement. Requires 4+ years in security/anti-abuse/fraud, strong Python/TypeScript skills, and experience with SQL and ML/LLM classifiers.

Replit is hiring a Senior Software Engineer for the Risk team to design and operate AI-powered abuse detection and automated response systems (phishing, cryptomining, account takeover, fraud) and build LLM guardrails. The role requires 4+ years in security engineering/anti-abuse, strong Python/TypeScript skills, experience with SQL and large-scale data analysis (e.g. BigQuery), and familiarity with ML/LLM classifiers and LLM-specific attack vectors. This is a full-time, primarily on-site role in Foster City, CA (in-office Monday, Wednesday, Friday).

Hands-on senior engineering role building and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing (grammar correction, filler removal, mention resolution), and creating voice-to-action systems. Involves evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks) and exploring multimodal (screen+voice+text) assistant capabilities while collaborating with product and platform teams.

The Home Depot is hiring a Senior Data Scientist for pricing who will design and develop optimization and deep learning solutions to drive profitability and customer experience. Responsibilities include building algorithms and models on large datasets, leading data science projects, mentoring junior staff, collaborating with business partners, and presenting recommendations to leadership. Remote virtual employment available in many U.S. states. Minimum 5 years' experience; preferred 6+ years in business intelligence/analytics and familiarity with linear optimization tools (Gurobi), Python, SQL, forecasting, and predictive modeling. Travel typically <10%.

NVIDIA seeks a senior software engineer to design and implement performance analysis tools and workflows for AI training and inference, integrate profiling infrastructure with AI frameworks, and automate detection and diagnosis of performance bottlenecks. Requires M.S. or PhD (or equivalent), 6+ years relevant experience, strong software development skills (Python, C++), and deep knowledge of AI workloads and performance characteristics. Base salary ranges provided for Level 4 and Level 5 (184,000–356,500 USD/year across levels).

NVIDIA is hiring a Senior Compiler Engineer - AI to design and implement learning-based compiler optimization workflows and integrate LLM systems with compiler infrastructure. The role requires 8+ years of software engineering and AI/ML experience, strong knowledge of compilers, code generation, GPU architecture, hands-on LLVM/MLIR experience, and proficiency in Python and C/C++. Locations listed include US (Redmond, Santa Clara, Austin) and remote. Base salary range listed: 184,000 USD - 287,500 USD per year.

Develop end-to-end predictive and optimization solutions to support credit underwriting decisions, including data wrangling, feature engineering, model development (classification, regression, clustering), hyperparameter tuning, validation, and deployment/MLOps. Requires 4+ years building and validating credit risk models and familiarity with loan origination systems, credit bureau data, and decisioning engines.

Role focused on offensive AI security: designing and executing red team assessments, innovating AI attack techniques, building scalable security tooling and automated evaluation pipelines, and partnering across AI Research, Engineering, Ethics, and Cybersecurity. Requires extensive hands-on experience securing AI/ML systems (including LLM vulnerabilities) and strong Python proficiency.

Lead Reddit's Safety ML organization to define strategy, develop and productionize transformer-based and LLM models for content and abuse detection, and partner cross-functionally with Safety, Product, and Engineering. Requires 10+ years in ML/AI or applied research, 5+ years leading large multidisciplinary ML teams, experience shipping ML at scale, and depth in NLP, detection systems, and responsible AI practices. Role is remote-friendly within the United States with listed US office locations.

NVIDIA seeks a senior deep learning/CUDA engineer to design and implement CUDA features, runtime abstractions and tooling for scaling AI and HPC workloads across multi-GPU and multi-node systems. Requires 8+ years' experience, strong C++/Python/CUDA skills, familiarity with PyTorch/JAX/inference engines, performance benchmarking and distributed communication libraries (NCCL, MPI, UCX).

Role to research, prototype, and optimize deep learning systems at the intersection of high-level frameworks and low-level CUDA, including custom kernel development, distributed cluster-scale design, and profiling. Requires a BS/MS/PhD (or equivalent), 8+ years relevant experience, and proven skills in C++, Python, CUDA, kernel optimization, distributed computing, and deep learning (transformers). Base salary ranges provided (USD, annual).