SecurityScorecard is hiring a Senior Data Scientist to develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. The role requires 5+ years applying data science/ML to real-world problems, proficiency in Python and frameworks such as scikit-learn, XGBoost, MLflow, or PyTorch, and experience with cloud-based data pipelines (AWS/GCP). Position is remote (Canada). The posting states no immigration sponsorship. Estimated total compensation range listed at $150,000–$175,000 (base plus bonus).

SecurityScorecard seeks a Senior Data Scientist (5+ years) to develop, evaluate, and deploy machine learning models (Python, scikit-learn, XGBoost, PyTorch, MLFlow) for risk scoring, threat intelligence, and vendor risk assessment. Role involves exploratory data analysis, model validation, collaboration with product and engineering teams, and integration into cloud-based data pipelines (AWS/GCP). Prior cybersecurity experience and familiarity with LLMs/Scala are a plus. No immigration sponsorship provided.

Lead design and optimization of enterprise MarTech architecture, build AI agents for campaign workflows, drive MarTech integrations and migrations, and establish architecture standards and governance. Requires 10+ years in marketing technology/platform architecture and 5+ years designing AI/ML or intelligent automation solutions; deep experience with MarTech platforms (CRM, marketing automation, CDP, CMS), LLM integration, API/data/cloud architecture, and tools like Adobe Workfront and Marketo.

The Home Depot is seeking a Senior Data Scientist for pricing and demand forecasting. The role requires proficiency in deep learning and time series forecasting, development of algorithms and models on large datasets, collaboration with cross-functional partners, project leadership, mentoring, and communicating results to technical and non-technical stakeholders. Minimum 5 years' experience; pay range $90,000–$190,000/year.

Hiring a Senior Python + GenAI Engineer to develop Generative AI solutions using LLMs and RAG pipelines, build multi-turn conversational and multi-agent systems, integrate APIs with enterprise systems (HR/payroll), and implement observability and model evaluation. Requires 5+ years of software development experience, strong Python skills, hands-on experience with LLMs/RAG/vector databases, API development, and working knowledge of AWS. Remote role targeting Latin America; strong English communication required.

Coforge busca Ingeniero de IA para Lima (modalidad híbrida, asistencia presencial 2 veces por semana). El rol implica diseñar e implementar agentes y asistentes inteligentes, arquitecturas de IA, pipelines RAG, integración con bases de datos vectoriales, desarrollo de APIs y despliegue/monitoreo en producción. Requiere formación universitaria relacionada, especialización en IA y experiencia práctica en soluciones de IA generativa, buenas prácticas de ingeniería de software y herramientas como LangChain, LLMOps y tecnologías cloud.

The Sr. Machine Learning Engineer will collaborate with product teams to design, develop, deploy, and monitor production AI/ML solutions, including LLM-powered applications, RAG systems, knowledge graphs, scalable data pipelines, and MLOps practices. Preferred experience includes Python, PyTorch/TensorFlow, GCP (Vertex AI, BigQuery), vector databases, model serving, CI/CD, and production monitoring. Role typically reports to a Software Engineering Manager and may require 5–20% overnight travel. A pay range of $100,000–$180,000/year is listed for certain U.S. residents in the posting.

Work remotely (United States) on GitHub's Copilot Code Review team to own end-to-end features: improve agent review behavior and context, integrate frontier models, balance review quality with latency/cost, prove changes with offline and online evals, and keep a high-throughput service healthy (including on-call rotation). Experience with production software, distributed systems, LLM/agentic products, and languages such as Go, Ruby, TypeScript, or Python is emphasized.

Senior applied research scientist role at NVIDIA to invent and evaluate AI-assisted numerical methods (e.g., learned preconditioners, AI-guided multigrid, differentiable solver components) for large-scale scientific and industrial simulation. Requires PhD or equivalent, 5 years' relevant experience, and experience with ML frameworks (PyTorch/JAX), Python, GPU computing, and numerical methods (PDEs, sparse linear algebra, iterative solvers).

Senior technical lead role owning the design and execution of large-scale ML infrastructure for Reddit's embedding and recommendation systems. Responsibilities include defining ML strategy, building distributed training across GPUs/cloud, optimizing low-latency real-time serving for embeddings, integrating models with product teams, and mentoring engineers. Requires 8+ years in machine learning engineering with expertise in deep learning, recommendation/personalization systems, Python/C++ and ML infrastructure.

Expect to own end-to-end ML components for recommendation and personalization: model design, data preparation, training, evaluation, and production deployment. Role emphasizes distributed training and inference, sequence and foundation-model techniques, low-latency/high-throughput serving, monitoring, and A/B-driven evaluation.

Lead development and adoption of agent-driven manual and automated tests using AI to improve coverage, efficiency, and defect detection. Own UI automation framework, performance/load testing approach, and enterprise test strategy across unit, integration, API, UI, regression, exploratory, and risk-based testing. Requires 8+ years in QA or related field and experience with TestNG, JUnit, Selenium, API and performance testing; proficiency with Java or Python and Git.

NVIDIA is hiring a Senior Software Engineer for Agent Simulation & Evaluation to develop agentic automation, tools, and performance models for evaluating LLMs, reasoning and coding agents, and heterogeneous GPU–LPU inference workloads. Requires strong Python, experience with AI agents and inference workloads, simulation/profile/benchmarking expertise, and 5+ years of relevant software development experience.

Lead and grow a team of ML engineers to define technical vision and deliver large-scale production ML solutions (including transformer/sequence/LLM models) for feed relevance and media ranking. Partner cross-functionally, maintain operational excellence, and drive hiring and team development. Requires 5+ years leading ML teams.

Hiring a Mid Machine Learning Engineer with 2+ years' experience to develop scalable ML solutions using Python and cloud ML platforms (e.g., AWS SageMaker), deploy and monitor models in production, and work with cross-functional teams in an Agile environment. Preferred experience includes MLOps tools (MLflow, Airflow, dbt), Snowflake, experimentation/causal inference, and LLMs/AI agents.

Remote (United States) Senior Staff ML Engineer role at Reddit to lead development of GenAI-powered recommendations and core feed ranking architectures. Responsibilities include setting technical direction across Relevance and Feeds teams, delivering high-impact initiatives, and mentoring senior engineers. Qualifications require 10+ years industry experience in relevance/recommendation and large-scale ML systems. Base salary range provided: $266,000–$372,400 USD per year.

NVIDIA's Silicon Co-Design Group is hiring an Applied AI Engineer to architect and implement AI-driven solutions (LLM-powered validation pipelines, orchestration agents, and data systems) for post-silicon validation and chip/productization workflows. Requires 5+ years building/deploying ML/AI or data-intensive backend systems, 2+ years owning applied AI/LLM workflows end-to-end, strong Python and at least one static language (C/C++/C#/Java/Scala), and experience with production test, system validation, and silicon development environments.

As a Privacy Engineer you will combine software engineering and AI/LLM-based approaches to build agent-based workflows, integrate privacy controls into engineering workflows (CI/CD, code review, data catalogs, ticketing), improve telemetry handling, and implement scalable solutions for retention, deletion, consent, and data access. This is a remote role open to candidates in the United States and Canada.

Senior Marketing Scientist responsible for developing and owning predictive and decisioning models (customer intent, next-best-action, marketing mix modeling and attribution), providing technical leadership, and translating model outputs into business recommendations. Requires 5+ years in data science, 3+ years in marketing applications, strong Python/SQL skills, and experience with ML frameworks and modern data stacks. Role is US-based (remote-first) and visa sponsorship is not available.

Role requires ~3+ years experience in data science/software engineering/finance to build production models and full-stack data solutions, partner with Finance and data engineering teams, drive experimental design and analytics best practices, and deliver BI and financial reporting using tools like SQL, Snowflake/Redshift/BigQuery, dbt, and Looker.