Manage analytical service operations for mortgage and tenant screening businesses across the US, leading a team of data scientist consultants. Design and develop software and statistical/predictive scoring models (regression, classification, decision trees), use SQL and visualization tools (Tableau, Spotfire), and provide training and mentorship to direct reports.

The Sr. Distinguished Machine Learning Engineer will define technical strategy and build production-grade, low-latency personalization and recommendation systems, end-to-end ML pipelines, MLOps tooling, and LLM optimization techniques. Role requires extensive experience with distributed computing, cloud platforms (AWS/GCP/Azure), containers and orchestration, ML frameworks (PyTorch/TensorFlow), and leading cross-functional technical initiatives. Capital One may sponsor employment authorization.

NVIDIA seeks a Senior Solutions Architect to advise customers on Generative AI and LLM inference deployments, build proofs-of-concept, and analyze performance and power efficiency of AI inference workloads on GPUs and Kubernetes. Requires 8+ years experience with Deep Learning frameworks (PyTorch/TensorFlow), strong Python and GPU orchestration skills (including MIG), and familiarity with containerization, observability, and inference optimization. Role includes cross-functional collaboration and ~20% travel.

Remote (Canada) Staff AI Engineer role at SecurityScorecard: lead end-to-end design and delivery of AI systems (LLM pipelines, agentic workflows, retrieval and evaluation infrastructure), set engineering standards for AI-native development, collaborate with product and CTO organization, and drive cross-team technical strategy. Requires 7+ years software engineering and 3+ years shipping AI-powered features; strong TypeScript and backend/distributed systems experience; AWS preferred.

SecurityScorecard seeks a Staff AI Engineer with 7+ years of software engineering experience and 3+ years shipping AI-powered features to define architectures for LLM pipelines, agentic systems, retrieval infrastructure, and evaluation frameworks. Must be proficient in TypeScript, experienced with distributed systems at scale, familiar with AI-native development tools (Cursor, Claude Code or equivalent), and comfortable with cloud infrastructure (AWS). This position is remote within the US and does not provide immigration sponsorship.

Lead end-to-end design and delivery of major AI product initiatives, define AI system architecture (LLM pipelines, agentic workflows, retrieval, evaluation), set engineering standards, and elevate cross-team practices. Requires 7+ years software engineering experience, 3+ years building AI-powered production features, proficiency in TypeScript, backend/distributed systems experience, familiarity with AI-native workflows (Cursor, Claude Code or equivalent), and cloud infrastructure (AWS). Location: Hybrid (NYC Metro). No immigration sponsorship provided.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship customer-facing AI-powered features. The role focuses on LLM integration, agentic workflows, distributed systems, and production reliability using TypeScript, Go, AWS, containerization, and CI/CD. Requires 5+ years software engineering experience and 2+ years building AI-powered production applications. Position is hybrid in the NYC metro area and does not provide immigration sponsorship.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship AI-powered customer-facing features, integrating foundation models and architecting agentic workflows. Requires 5+ years software engineering experience, 2+ years in production AI applications, proficiency in TypeScript, backend fundamentals, distributed systems experience (AWS preferred), and familiarity with CI/CD, Docker/Kubernetes, and production monitoring. Position is remote (CAN); company does not provide immigration sponsorship.

Hands-on Senior AI Engineer role building customer-facing AI features at the intersection of LLMs, distributed systems, and security. Responsibilities include architecting agentic workflows and LLM pipelines, integrating foundation models with attention to latency/cost/quality, owning projects end-to-end (monitoring and iteration), and leading architecture/code reviews. Tech stack: TypeScript/JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL. Compensation range provided: $160,000–$185,000 (base plus bonus). No immigration sponsorship for this position.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

Individual contributor role within CrowdStrike's Malware Research Center responsible for deep reverse engineering and malware analysis, building and designing scalable automation and sandbox integrations, producing technical research and documentation, and mentoring other researchers. Requires 12+ years of threat research experience and proficiency with reverse engineering tools, multiple programming languages, OS internals, ML-based detection concepts, and threat intelligence workflows.

Arize AI is hiring a Forward Deployed AI Engineer to work directly with enterprise customers to build custom integrations, MLOps pipelines, and production-grade generative AI observability/evaluation programs. Requires 2+ years software development experience (comfortable in at least two of Python, Java, TypeScript), experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes), and ability to manage multiple client engagements. Role is remote-first but requires candidates to be based in the San Francisco Bay Area / PST time zone. Salary range provided: $125,000–$175,000 per year.

Work on prompts, evals, and agent tooling to handle code (generate tests, fix bugs, improve performance), prototype and productionize systems integrated with Datadog products. Requires 5+ years backend experience (Go, Java, Python) and prior production experience with LLMs or related ML/AI systems.

Lead end-to-end development of LLM/agent workflows that analyze traces, metrics, logs, and telemetry to generate diagnoses, explanations, and guided fixes. Prototype, evaluate, iterate, and productionize scalable, reliable backend services integrated into Datadog's APM UI; collaborate with PM and Design and own production reliability and performance.

Reddit seeks a Senior Staff Machine Learning Engineer to define and lead its GenAI Platform strategy and architecture, build features like a unified LLM Gateway, drive MLOps/LLMOps practices, and ensure observability, reliability, and scalability. Requires 10+ years of relevant experience and deep experience with Kubernetes, cloud platforms (e.g., AWS, Google Cloud Storage), Terraform, and languages such as Go and Python. Base salary range provided for US: $292,500–$409,500 USD/year.

Hands-on Senior Data Scientist role (remote, based in Romania) responsible for end-to-end analytical solutions: extracting data from BigQuery and MariaDB, building pipelines and automation with Python and SQL, applying statistical and ML methods (regression, clustering, time series, A/B testing), serving models/APIs (FastAPI), and using AI-powered tools (Windsurf, Gemini, Claude, Cursor). Requires 7+ years of relevant experience, expert SQL, production-quality coding, data architecture expertise, strong communication skills. MariaDB does not sponsor work visas or relocation; travel may be required ad hoc.

Senior Data Scientist responsible for designing and building end-to-end analytical solutions, writing advanced SQL in BigQuery and MariaDB, developing pipelines and tooling in Python, leveraging AI assistants/LLMs, and communicating insights to stakeholders. Requires 7+ years in data science/analytics, expert-level SQL, production-quality Python or JavaScript, strong understanding of analytical methods and data architecture. Role is remote in India; MariaDB does not sponsor work visas or relocation. Travel may be required ad hoc.

Hands-on Senior Data Scientist role focused on designing and implementing end-to-end analytics: data extraction in BigQuery/MariaDB, building data pipelines and tooling in Python/SQL, leveraging LLMs and AI tools, and serving models/APIs with FastAPI. Requires 7+ years in data science/analytics, expert SQL, strong programming skills, experience with analytical methods and data architecture. Position is remote (Bulgaria); MariaDB does not sponsor visas or relocation.

Role requires designing, building, and maintaining analytical pipelines and reporting on BigQuery and MariaDB; writing advanced SQL; developing tooling and automation in Python and FastAPI; applying AI/ML and AI-powered dev tools; documenting data architecture and working with business stakeholders. Location: Bulgaria (hybrid, Sofia) / Remote - Bulgaria. MariaDB does not sponsor visas or relocation.

Remote (India) Senior Data Analytics Engineer role to design, build, and maintain analytical pipelines and reporting on BigQuery and MariaDB. Responsibilities include writing advanced SQL, building automation and internal APIs with Python and FastAPI, applying AI/ML and LLM tools to analytics workflows, documenting data architecture and lineage, and communicating findings to stakeholders. Requires 7+ years of relevant experience. MariaDB does not sponsor work visas or relocation; travel is minimal/ as required.