Senior Staff (P5) Data Scientist role at Mozilla: partner with senior executives to deliver rigorous, data-driven recommendations, design analytical solutions for complex large-scale data problems, set technical standards, and mentor data scientists. Required strengths include Python or R, SQL, statistics, strong communication, and cross-functional influence. Position is remote with listings for Canada and the United States.

Work on CUDA Tile compiler infrastructure: design and implement MLIR-based dialects and lowering passes, craft compiler/optimization techniques, and optimize tile-based kernels for NVIDIA GPUs. Requires strong C/C++ skills, compiler optimization and IR design experience, and knowledge of performance analysis and GPU/CPU architectures.

Mozilla is hiring a Staff AI & Agentic Systems Engineer to lead architecture and implementation of next-generation multi-agent frameworks, LLM orchestration, evaluation frameworks, and AI developer tooling. Requires 7+ years software engineering experience and 2+ years building production autonomous/agentic systems, with strong skills in Python or Go, distributed backends, LLM tooling (e.g., LangChain), prompt engineering, and RAG/vector DBs. Role is remote within the US and includes published US salary ranges.

Quora is hiring a new-graduate Machine Learning Engineer to build and iterate on consumer-facing AI features using large language models and related generative systems. Responsibilities include model development, experimentation (A/B tests, offline evaluation), productionization, monitoring and reliability, and optimizing latency, cost, and scalability. The role is remote and available to candidates in the United States and Canada; strong written English and a degree in a technical field (2024–2026 graduates) are required.

Lead a cross-functional engineering team (backend, frontend, applied AI/automation) to define and deliver SeatGeek’s core support tools, AI agent optimization, and integrations. Requires hands-on engineering background (5+ years) and at least 2 years managing engineering teams; role is remote in the United States.

Telecommuting Principal Data Scientist role (U.S.-based) to develop end-to-end data science solutions—from requirements through validation and production. Responsibilities include feature engineering, building production-grade ML/statistical models, collaborating with data engineering and ML Ops to operationalize models, and implementing monitoring for model performance, data drift, and concept drift. Required: bachelor's degree (or equivalent) and 3 years of relevant experience. Salary range $147,470 - $243,350 per year.

Role to design and deploy scalable ML/AI and constrained-optimization models (e.g., linear programming, network flow) for real-time routing, scheduling and capacity allocation in cloud gaming. Work involves time-series forecasting, prescriptive scheduling pipelines, feature engineering, large-scale data processing and production ML tooling. Required: BS/MS + 6+ years or PhD in quantitative field; strong Python, statistics/ML, optimization and experience with tools like SQL, Delta Lake, Spark, Databricks and MLflow. Salary range provided: 184,000–287,500 USD/year.

CrowdStrike seeks a Senior AI Infrastructure Engineer to design, build, and deploy large-scale LLM infrastructure and data platforms supporting training, fine-tuning, and inference. Requires 6+ years infrastructure/data engineering experience with hands-on expertise in GPU cluster provisioning, MLOps, distributed training frameworks, cloud platforms, and related tooling.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.

Lead data-science initiatives using Doximity's datasets to build and evaluate AI products for clinicians. Responsibilities include end-to-end data projects (ingestion through analysis and recommendations), informing data team strategy, collaborating with product managers and engineers, and applying modern ML techniques (deep learning, reinforcement learning, LLM fine-tuning). Requires advanced SQL and Python, experience with PyTorch or TensorFlow, distributed data processing, and at least 5 years' professional experience. Visa sponsorship is not available.

Join Astronomer as a Senior Software Engineer to design and build a context layer that enables semantic search, retrieval, and code generation for data platforms. Work across the stack with LLMs, embeddings, vector databases, and Apache Airflow-related data pipelines. Role requires ~5+ years of software engineering experience (Python or Go) and follows a hybrid model with at least 3 days/week in the New York City office. Estimated total compensation range: $200,000–$230,000.

Pindrop seeks a Senior Security Researcher (Red Team) to design and execute red team operations and adversarial ML attacks against GenAI/LLM pipelines, SaaS products, APIs, and cloud environments (AWS/GCP). Responsibilities include deepfake and voice synthesis testing, penetration testing, threat modeling, security code reviews, developing automation for offensive workflows (Python preferred), and partnering with SecOps and product teams to improve detections and remediation.

Grafana Labs seeks a Marketing Analytics Director to build and lead the marketing analytics infrastructure—designing data schemas in BigQuery, developing ML models (attribution, MMM, LTV), deploying agentic AI and automation, and partnering with GTM leadership to drive demand generation. Requires 8+ years in marketing analytics/GTM or data science with strong SQL, Python, BigQuery, and hands-on AI and automation experience.

Capital One seeks a senior-level AI engineer to design, develop, test, deploy, and support foundation-model training and large language model inference systems. The role emphasizes LLM optimization (scalability, cost, latency, throughput), similarity search/VectorDBs, guardrails, evaluation, and observability, and requires substantial experience (8+ years minimum) with ML engineering, cloud platforms, and languages such as Python.

Join STRIKE as the engineering counterpart to threat research to own the research-to-production pipeline, build and extend threat intelligence platform components, produce detection content (YARA, Sigma, STIX), and ship production systems that may include language-model-backed workflows. Requires 5+ years engineering experience with threat intel or detection engineering and hands-on experience with Python and TypeScript/Node.

Join STRIKE to own the path from threat research outputs to production artifacts (detections, distributed feeds, APIs). The role requires building and extending platform components (sandbox orchestration, ingestion, distribution, rules engines), producing detection content (YARA, Sigma, STIX), operating ML-backed workflows with eval harnesses and schema validation, and coordinating delivery with product and platform teams. Requires 5+ years engineering experience with threat intel or detection engineering and production experience with Python and TypeScript/Node.

Join STRIKE as the engineering counterpart to threat research, owning delivery from research outputs (malware findings, indicators, behavioral patterns) to production artifacts (detection rules, distributed feeds, schemas, APIs). Requires 5+ years hands-on engineering experience with threat intel systems, production use of Python and TypeScript/Node, cloud (AWS), STIX/TAXII knowledge, detection tooling (YARA, Sigma), and experience shipping systems that use language models.

Join STRIKE to own the path from threat research output to production artifacts (detection rules, distributed feeds, scoring inputs). The role requires hands-on engineering across platform components (ingestion, sandboxing, distribution), detection content (YARA, Sigma, STIX), applied language-model production systems, and cross-functional delivery with researchers and product teams.

Join STRIKE as the engineering counterpart to threat research, owning delivery from research outputs (malware findings, indicators, behavioral patterns) to production artifacts (detection rules, distributed feeds, schema-constrained outputs). Requires 5+ years engineering experience with threat intel or detection engineering, production experience with STIX/TAXII and detection tooling (YARA, Sigma), strong Python and TypeScript/Node skills, cloud and pipeline experience (AWS, containers, CI/CD), and experience shipping systems that use language models.

Join STRIKE as the engineering counterpart to threat researchers: own the pipeline from research output to production artifacts (detection rules, distributed feeds, scoring inputs, APIs). Build and maintain platform components (ingest, distribution, sandbox orchestration, agent runtimes), author detection content (YARA, Sigma, STIX), and deploy model-informed workflows with schema validation and evaluation harnesses. Requires 5+ years engineering experience with production threat-intel systems, production Python and TypeScript/Node skills, and working knowledge of STIX/TAXII/MISP/ATT&CK. No immigration sponsorship provided for this position.