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Senior Data Scientist, Commercial
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Machine Learning Engineer (Mid to Principal)
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
AI/ML Engineer III
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Director / Senior Director, Machine Learning for Biology
Leads a team of ML scientists to develop advanced AI/ML methods for biological research, focusing on cell rejuvenation and disease reversal. Combines hands-on technical work with strategic direction to drive breakthroughs in computational biology.
Senior Data Platform Developer - AI Platform
Build and maintain Geotab’s internal AI and generative-AI platform, enabling data scientists to train models, access LLMs, and deploy agent applications at scale using Python, cloud services, and container orchestration.
Senior Data Platform Developer - AI Platform
Build and maintain Geotab’s internal AI/ML and generative-AI platform, enabling data scientists to train models, access LLMs, and deploy GenAI agents at scale.
Sr. Data Platform Engineer, Emerging Technology Solutions
Builds and maintains ultra-scalable data platforms for Apple’s cybersecurity solutions (anti-phishing, spam, network security), leveraging NoSQL, ML, and big data technologies to process massive volumes of critical data.
Staff Applied ML Engineer
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Senior Machine Learning Engineer, Radar & Remote Sensing
Owns radar/ML stack: simulates radar/SAR data, builds ML pipelines (PyTorch/NumPy), and deploys models on GPU infrastructure for defense applications.
Founding ML Engineer (Spectrum)
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
Senior MLOps Engineer (ML Workflows Engineering)
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
Staff Research Engineer (LLM Pre-Training)
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Staff/Senior AI Engineer, AI for Code
Build and ship production-ready AI coding agents and agentic workflows for JetBrains' developer tools, integrating models like Mellum2 and open-weight models into real development environments.
Partner Solutions Architect
Partner Solutions Architect designs and implements integrations between Nebius' AI cloud platform and strategic partners, enabling joint customers to deploy GPU-accelerated AI/ML solutions at scale.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.