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Principal AI/ML Research Engineer
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Senior Backend Developer
Lead backend development for NexusGRID, a Django-based platform that integrates energy-asset telemetry, AI forecasting, and real-time analytics for utilities and renewable-energy developers.
Amazon Data Scientist, Transportation Science
Build and deploy ML/optimization models for Amazon’s middle-mile logistics, including forecasting and network planning, using Python, SQL, and AWS services.
Principal Associate Data Scientist, Cash Flow Underwriting
Build and deploy machine-learning models to predict creditworthiness from cash-flow and transaction data using Python, Spark, and AWS.
Senior Data Scientist (Remote)
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
CO - Sr. Data Scientist - 229
Build and ship ML models for credit risk, revenue forecasting, and underwriting to fund eCommerce businesses without equity dilution.
Executive Director of Applied AI
Lead Novartis’s enterprise-wide deployment of generative AI and agentic systems, architecting secure, scalable solutions and coaching a global team to transform patient-focused workflows.
Data Scientist, Cheminformatics & AI
Build AI-driven cheminformatics pipelines to accelerate early drug discovery, combining generative chemistry, Lab-in-the-Loop workflows, and high-throughput assay data.
Data Scientist
Build predictive models and AI solutions to optimize ferry operations, demand forecasting, and customer experience using Python, SQL, and cloud platforms.
Data Scientist, Modeling and Analytics
Build and maintain predictive models to drive life-insurance sales and policy growth using Python/R, SQL, and AWS SageMaker, then monitor performance with PowerBI.
Senior Data Scientist
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
Senior Software Engineer, Machine Learning
Build and optimize in-database ML models (classification, regression, time series) that run entirely inside Ocient’s SQL engine, matching scikit-learn/Spark ML behavior while scaling to massive datasets.
Senior Data Scientist, Modeling & Simulation
Build and apply ML models to predict drug properties and guide lead optimization in ADME/PK-PD, using Python/R and in-house tools to accelerate drug discovery.
Research Data Analyst
Builds and maintains data pipelines to convert raw neural signals into structured datasets for clinical research, using Python/Rust and tools like TileDB/SQLite.
Data Infrastructure and Machine Learning Engineer
Designs and builds scalable data pipelines and Python-based processing systems to enable machine learning and analytics for semiconductor manufacturing workflows.
Senior Frontend Engineer
Build and optimize a high-performance React-based UI for inspecting and visualizing massive LLM traces, ensuring fast rendering and smooth UX for AI engineers.
Sr. Product Owner - Revenue Forecasting
Owns the product strategy for revenue forecasting tools, translating business needs into scalable solutions that improve forecast accuracy and drive revenue decisions using SQL, Python, Databricks, and Tableau.
Software Engineer, Applied Machine Learning & Data Mining
Build ML-driven data-mining tools to find the most valuable moments in petabytes of autonomous-driving data, turning them into searchable datasets for ML engineers.
Lead Data Scientist
Lead a team of data scientists to design, build, and deploy credit-scoring models that power Bondora’s lending platform, ensuring regulatory compliance and business impact.
ML Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.