Senior AI Engineer
Build and optimize AI agent orchestration and reasoning systems for the insurance industry. Requires 6+ years in ML/AI, strong Python skills, and exceptional LLM prompting ability.
Senior Data Scientist, Generative AI
Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.
225k – 240kNew York, NYML EngineeringHybrid5+ YOE
About the role
Responsibilities
- Design, build, and deploy robust, scalable machine learning models that power core product features. Write production-quality code and be responsible for the end-to-end implementation of AI/ML systems.
- Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment.
- Design and implement monitoring, logging, and alerting to ensure model performance, reliability, and health in a live environment.
- Collaborate closely with Product, Engineering, and Design teams to define the art of the possible. Stay on the bleeding edge of AI, evaluating new tools, papers, and techniques.
- Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning.
Qualifications
- An advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.
- 5+ years of professional experience focused on building and shipping production-level AI/ML systems.
- Deep, foundational knowledge of how LLMs work, including transformer architecture, attention mechanisms, principles behind RAG, fine-tuning, and advanced prompt engineering.
- Expert-level proficiency in Python and its ecosystem and deep experience with AI/ML frameworks (such as LangChain, ai, and PyTorch).
- Hands-on experience deploying and managing models in a major cloud environment (AWS preferred), coupled with deep familiarity with modern data platforms like Snowflake.
- Possess an intuitive feel for writing elegant, efficient, and effective code. Thrive in a fast-paced, experimental environment.
Preferred Qualifications
- Experience building autonomous AI agents or multi-agent systems.
- Contributions to major open-source AI projects.
- Knowledge of model optimization techniques like quantization or distillation.
- Experience with multi-modal models (text, image, audio).
Compensation
- Salary range: $225k - $240k + bonus
- 100% paid Medical / Dental / Vision Insurance, 401K with matching, Employee Assistance Program (EAP), Family Planning Assistance, Parental leave, LGBTQ+ medical benefits.
Skills
PythonPyTorchLangChainAWSSnowflakeLLMsRAGFine-TuningPrompt EngineeringMLOpsTransformersAttention MechanismsCI/CDMachine LearningFeature Engineering
Similar roles
ML Engineering jobsSenior Research Engineer - Voleon Securities
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Senior Machine Learning Engineer
Builds and deploys production ML models for real-time voice AI agents, fine-tuning LLMs and audio models, running benchmarks and human evaluations, and maintaining ML infrastructure for high-scale performance.
Senior Software Engineer, AI Platform
Senior Software Engineer building scalable AI infrastructure, agent orchestration frameworks, evaluation systems, and high-performance LLM serving at Mixpanel. Requires 5+ years experience and hands-on LLM/agent work.
Senior Machine Learning Engineer - 3D Sensor Simulation
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using GenAI and graphics techniques to generate high-fidelity synthetic data for AV training. Requires 5+ years experience with neural rendering (NeRFs, Gaussian Splatting), PyTorch/TensorFlow, Python/C++, and 3D math.