Role to design MLIR dialects and APIs, implement compiler optimizations and kernel generation for neural networks, and collaborate with framework and hardware teams. Requires a BS/MS/PhD or equivalent, 3+ years' relevant experience in performance analysis and compiler optimizations, experience with MLIR/XLA/LLVM, strong C++ and Python skills, and familiarity with GPU programming (CUDA/OpenCL) and deep learning frameworks (PyTorch/JAX). Salary ranges provided for levels 3 and 4.

Remote Senior AI Automation Engineer responsible for leading design and implementation of AI-enabled automation, enterprise integrations, data pipelines, and governance across finance and treasury technology. Requires 5+ years' experience with Python, Generative AI/ML, LLMs, APIs, ETL/data governance, and financial data or services experience.

CrowdStrike is hiring an Applied Scientist II (Engineer II) to research, build, evaluate, and help productionize machine learning models for cloud cost attribution, forecasting, and anomaly detection. Role focuses on working with large-scale cloud billing and financial datasets, applying ML and MLOps practices, and collaborating with engineering and business partners. Position is remote for U.S. candidates and requires U.S. citizenship or Green Card/permanent resident status. Salary range for U.S. candidates is $100,000 - $145,000 per year.

CrowdStrike seeks a Director to lead the scientific direction and hands-on research for agentic AI systems in cybersecurity. The role includes driving research on efficient post-training methods for LLMs, designing evaluation and adversarial validation methodologies, partnering with security teams to ground work in real operator workflows, and leading teams while contributing directly to experiments and publications. Requires an MS/PhD-qualified candidate with 10+ years in data science/ML/AI and proven experience with agentic systems and model evaluation.

Remote (USA) staff-level research role to set scientific direction and lead experiments for agentic AI systems in cybersecurity. Responsibilities include developing post-training techniques for efficient models, establishing rigorous evaluation and adversarial validation methodologies, partnering with security teams (threat intel, detection engineering), and contributing research publications. Requires MS or PhD and 10+ years' experience in data science/ML/AI. U.S. base salary range: $235,000–$350,000/year.

Lead design and implementation of scalable backends, model serving and orchestration, image/video editing pipelines, performance feedback systems tying CTR/CVR to generation, and content safety middleware. Requires strong software engineering, applied ML systems experience, distributed system design, and cross-functional technical leadership.

Hiring a Machine Learning Engineer (remote; Costa Rica, Peru, Colombia, Bolivia) with 5–8+ years' experience to deploy and operationalize ML/LLM models on Azure and Databricks. Responsibilities include building scalable batch and real-time inference pipelines, designing REST APIs/microservices for model serving, implementing CI/CD, monitoring and model versioning, and optimizing performance and cost of ML services.

CrowdStrike is hiring a remote AI Research Scientist to work on training and post-training of LLMs and agentic systems for cybersecurity tasks (RLHF/RLAIF, policy optimization, reward modeling), building agent workflows, designing rigorous evaluations, optimizing inference and prompts, and collaborating with engineering and threat research teams. US base salary range: $140,000–$215,000 per year.

CrowdStrike seeks a Senior Machine Learning Engineer to support an AIDR engineering team focused on LLM post-training, scalable low-latency inference, and data engineering for customer-facing AI applications. Responsibilities include building and maintaining data pipelines, supporting model training and inference at scale (including GPU clusters), collaborating with data scientists and engineering teams, and following engineering best practices. Location: USA - Remote. Posted U.S. base salary range: $140,000–$215,000 per year.

CrowdStrike seeks a Senior Data Scientist to lead LLM/GenAI research and applied deployments for cybersecurity, including AI safety, red-teaming, large-scale training and post-training deployment, and mentoring. Requires an advanced degree (Master's/PhD), 7+ years of applied ML/research experience, strong Python and deep learning framework skills, GPU and cloud expertise. U.S. base salary range: $140,000–$215,000 per year.

CrowdStrike is hiring a Senior Data Scientist to lead research and engineering of LLM/GenAI capabilities for cybersecurity. Responsibilities include end-to-end R&D (data sourcing, labeling, modeling, evaluation, benchmarking), designing model architectures and deployment strategies, driving AI safety and red‑teaming efforts, mentoring data scientists, and collaborating with product and engineering to deliver production-grade models. Requires an advanced degree (MS/PhD), 5+ years applied ML/research experience, strong Python and deep learning expertise, GPU optimisation experience, and cloud familiarity. Base salary range for U.S. candidates: $120,000–$180,000/year.

NVIDIA is hiring an AI Compiler Engineer to work on kernel generation, computational graph optimizations, and compiler frameworks for next-generation GPUs. The role requires 3+ years of relevant industry compiler experience, hands-on MLIR knowledge, and strong C/C++ and Python programming and software design abilities. Collaboration with hardware, software, and research teams and experience with AI workloads (inference/training, LLMs, datacenter deployments) are emphasized.

Work on compiler optimization algorithms for deep learning workloads targeting NVIDIA GPUs, optimizing JAX and OpenXLA performance for training and inference. Responsibilities include graph optimization, tensor sharding and partitioning for distributed workloads, performance tuning, and code generation using open-source compilers (MLIR, LLVM, Triton). Requires a BS/MS/PhD or equivalent experience, 4+ years of relevant experience, strong C/C++ skills, and familiarity with GPU architectures and high-performance/distributed programming.

NVIDIA seeks a Senior Deep Learning Algorithm Engineer to expand Megatron Core and NeMo Framework capabilities for LLM and multimodal workloads. Responsibilities include designing distributed training algorithms, model parallelism, performance tuning on NVIDIA GPUs, contributing to open-source frameworks, and collaborating with internal and open-source partners. Requires MS/PhD or equivalent, 5+ years industry experience, strong DL fundamentals, and proficiency in Python and frameworks such as PyTorch, JAX, or Ray.

NVIDIA is hiring a Senior Agentic AI Software Engineer to build agentic systems (coding and research domains), architect systems for analyzing inference workload dynamics, and collaborate on evaluation systems for software and hardware. Requires strong experience building AI agents, familiarity with agent evaluation, an MS in CS or equivalent plus 5 years relevant software development experience. Experience with AI inferencing or modern agentic systems is a strong plus.

The role owns the full lifecycle of AI development: conducting SOTA research, fine-tuning foundational models (PEFT/LoRA/QLoRA), designing data and production pipelines, implementing MLOps (DVC, CI/CD, Docker, Kubernetes), and building low-latency APIs. Minimum requirements include an undergraduate quantitative degree (Master’s/PhD preferred), and 3+ years in a similar ML/ML engineering/research role. Work location is hybrid with ~2 onsite days per week in Metro Manila (Makati/Taguig).

Senior AI Builder role requiring 6+ years software development experience (>=3 years building ML models). Responsibilities include solution architecture, integrating AI models with legacy systems (e.g., CRM, core wallet, SAP), driving CI/CD and MLOps practices, applying security-by-design and data privacy controls, and leading cross-functional teams using AI-assisted development tools (e.g., GitHub Copilot). Strong cloud (AWS/Azure/GCP), containerization (Docker/Kubernetes), microservices, APIs, Agile/DevOps and LLM/prompt-engineering expertise expected.

Contract role evaluating AI-generated coding interactions end-to-end (focus on usefulness, high-level correctness, reasoning, and engineering judgment). Rate $100–$200/hour, ~10–20 hrs/week, start ASAP through early May. Hands-on familiarity with OpenAI Codex, Claude Code, Cursor and experience in TypeScript/JavaScript or Python preferred; role is judgment-focused rather than writing production code.

Part-time contract position (≈10–20 hrs/week) to assess AI coding agents' interactions end-to-end. Responsibilities include judging usefulness and alignment with strong engineering thinking, assessing explanations and reasoning, distinguishing response quality levels, and providing clear, opinionated feedback. Targeted at staff/principal-level engineers with hands-on experience in Python, TypeScript/JavaScript, and familiarity with Codex, Claude Code, or Cursor.

Join SecurityScorecard as a Senior Data Scientist to develop and productionize machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Responsibilities include exploratory data analysis, model evaluation and validation, collaborating with product and engineering teams, and integrating models into production. Required: advanced quantitative degree or equivalent, 5+ years applying data science/ML, proficiency in Python and frameworks (scikit-learn, XGBoost, PyTorch, MLflow), and experience with cloud data pipelines (AWS/GCP). Prior cybersecurity or LLM exposure is a plus. No immigration sponsorship provided.