Work on applied machine learning to detect, score, and investigate fraud across voice/IVR using audio, behavioral, and metadata signals. Responsibilities include building fraud risk models and scam detection systems, analyzing fraud patterns, supporting investigations, and moving research into production. Requires an advanced degree or equivalent experience and 3+ years in ML, fraud detection, speech/NLP, or related fields. Remote (US).

Lead a senior engineering team for Thunderbolt, moving the project from R&D to production readiness. Responsibilities include managing engineers and contractors, contributing to the codebase, establishing release and engineering practices, and partnering across product and design to deliver a secure, privacy-respecting, enterprise-grade open-source AI product. Requires 15+ years software experience and 5+ years managing technical teams.

Senior (IC4) Machine Learning Engineer role on Reddit's Ads Optimization team to design and implement optimization algorithms and end-to-end systems for auctions, bidding, pacing, and budget allocation. Requires experience deploying and operating production ML systems, strong software engineering skills (Python, Java, Go), and familiarity with large-scale data processing tools (Spark, Kafka, Airflow, BigQuery, Redis). Base salary range listed for US: $216,700–$303,400 USD.

Lead Cloudera’s AI industry solutions for Financial Services by translating R&D into sales playbooks, technical reference architectures, and prototypes. Support Sales, R&D, and customer retention through technical evangelism, value engineering, and thought leadership; requires 10+ years in Financial Services and hands-on AI/ML engineering experience.

Role to investigate communication bottlenecks, design and implement communication technologies, build proofs-of-concept, run experiments and simulations for large GPU clusters. Requires M.S./Ph.D. or equivalent, 12+ years of experience, strong C/C++ skills, experience with parallel programming models and communication runtimes (e.g., MPI, NCCL, NVSHMEM, UCX), solid Linux and network/system architecture knowledge. Posted salary ranges: 224,000–356,500 USD (Level 5) and 272,000–431,250 USD (Level 6). Applications accepted through at least August 19, 2026.

Lead design and implementation of shared infrastructure, deployment patterns, observability, integrations, and platform services for an internal AI agent platform; collaborate with cross-functional teams to move agents to production. Requires 5+ years of hands-on engineering experience. Salary range listed: $148,000–$203,500 USD per year.

Stitch Fix is hiring an ML Platform Engineer to design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering, candidate generation, AI agent deployment, and observability. The role expects 3+ years of software development experience with a focus on data, ML, or AI infrastructure and proficiency with tools such as Python, Golang, Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph/LangSmith, and AWS. The position is remote for US-based employees and lists a US salary range of $136,000–$167,000.

GitHub is hiring a Machine Learning Engineer to build and operate scalable ML and agentic systems (leveraging large language models) for trust & safety use cases including fraud, spam, and abuse detection. Responsibilities include model evaluation, production deployments on cloud platforms (e.g., Azure AI Foundry), cross-functional collaboration, and identifying product vulnerabilities. Minimum qualification paths include multi-year ML experience or relevant degrees.

Remote Staff AI Engineer role focused on designing, prototyping, and shipping production AI features for Grafana Cloud observability. Responsibilities include building LLM- and agent-powered workflows for incident detection and triage, integrating AI with alerting/runbooks/developer workflows, rapid experimentation, and collaborating with cross-functional teams. Requires experience with LLMs/GenAI, prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tooling.

Remote (Canada time zones) Staff AI Engineer role at Grafana Labs focused on designing, prototyping, and shipping AI/ML features (LLMs, prompt engineering, agents) for observability products. Requires production software delivery experience, familiarity with cloud-native environments and observability tools. Reported Canadian base salary range: CAD 186,368–230,000.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and ship AI-driven observability features (LLM/agent-powered workflows) for incident detection and response. The role is 100% remote for applicants in USA time zones and expects experience delivering production software, working with LLMs/prompt engineering, and exposure to cloud-native environments (AWS/GCP/Azure). Base salary range (US) listed: USD 127,651–203,867 per year.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and scale AI/LLM-powered features for observability and incident response. Role emphasizes production software delivery, rapid experimentation, integration with observability tooling, and cross-functional collaboration. Position is remote and targets applicants in Canada time zones; listed Canadian base salary range is CAD 129,392–217,128 per year.

NVIDIA seeks a Senior Solutions Architect to partner with universities and research labs on LLMs, VLMs, multimodal models, pretraining/post-training, inference studies, distributed GPU-accelerated training, and agent evaluation. Requires 8+ years in AI systems or research-scale generative AI workflows; travel up to 20%. Base salary range listed: 184,000–287,500 USD/year.

NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

Work with ISVs, product, engineering, developer relations, and sales to identify use cases, run architecture reviews, build POCs, benchmarks and repeatable GTM assets (reference architectures, playbooks, demos). Requires 8+ years experience in machine learning/deep learning and data analytics, strong background in data platforms/distributed systems/databases, familiarity with Spark, Pandas, Polars, DuckDB, Trino/Presto, Velox, RAPIDS/cuDF/cuVS and related NVIDIA libraries. Travel up to 20%.

The Home Depot is hiring a Senior Software Engineer for Applied AI Acceleration to design, build, and scale enterprise-grade multi-agent AI systems and orchestration layers for marketing operations. Responsibilities include industrializing AI use cases, implementing model governance and observability, building RAG/vector DB solutions, integrating AI agents with MarTech/data systems, and mentoring engineers. Minimum 3 years' relevant experience. Travel: none. Posted pay range (for listed US locales) $80,000–$180,000 per year.

Lead the end-to-end global payroll operating model for employees, contractors, EORs/PEOs and local providers; manage operational equity administration in Shareworks; implement HRIS integrations and automation; strengthen payroll controls and compliance; establish processing calendars, metrics and dashboards; collaborate with HR Tech, IT and Finance. Role is remote (Montréal/Québec) within HTS (Hopper).

Lead Tide's Ongoing Monitoring machine learning function: define risk engineering strategy, build and scale production risk and fraud infrastructure, develop self-service tooling for internal teams, and ensure compliance with regulatory standards. Requires senior leadership experience (~12+ years), deep fintech risk/compliance expertise (AML, KYC/KYB), ML and adversarial-AI experience, and cloud-native engineering background.

Senior Tech Lead on Twilio's Emerging Tech incubation team focusing on Horizon-3 AI initiatives. Responsibilities include architecting and delivering end-to-end prototypes and production solutions, driving AI/LLM experimentation and integration, establishing engineering governance and code review practices, and mentoring peers. Requires 10+ years full-stack development experience and proficiency with modern languages (JavaScript, Python, Java, Go), front-end (React/Angular) and back-end (Node.js/Spring Boot) frameworks, plus data architecture and cloud knowledge.

Individual Contributor Staff Data Scientist to design and deploy predictive ML models for fraud and risk, address highly imbalanced datasets and data/concept drift, build production GenAI/Agentic AI workflows, collaborate with engineers and product teams, and act as the team SME. Requires 10+ years' experience in data science/ML and strong applied skills in classical ML, production ML engineering, Python/SQL, and cloud (AWS or GCP).