AI/ML Research Engineer Jobs

Our client, a leading insurance company, are hiring a Senior Data Scientist with skills in Agentic AI to join their Data & AI team in New York. The successful candidate will lead the development and deployment of agentic AI systems, large language models and intelligent automation solutions to enhance business operations and elevate customer experiences.


Responsibilities

• Design and implement agentic AI solutions to automate complex workflows, enhance decision-making, and improve both customer and employee experiences.

• Operationalise large language models (LLMs) and generative AI to process and interpret unstructured data, including contracts, claims, medical records and customer interactions.

• Develop autonomous agents and multi-step reasoning systems that integrate seamlessly with core business platforms.

• Collaborate with Data Engineering and AIOps teams to deliver scalable, production-ready AI solutions.

• Apply research in agentic AI, reinforcement learning and reasoning systems to practical use cases across underwriting, claims and risk assessment.

• Work closely with product, engineering and business stakeholders to define use cases and evaluate return on investment.

• Contribute to the Data Science Lab by developing reusable frameworks and promoting best practices.

• Mentor junior data scientists and support the standardisation of AI/ML tools, practices and frameworks.

Skillset

• PhD or Masters Degree in Statistics, Computer Science, Engineering, Applied Mathematics or similar.

• Minimum of 3 years of hands-on experience in AI/ML modelling and development.

• Strong grounding in probability and statistical methods.

• Proficient in Python, with experience using frameworks such as PyTorch, TensorFlow and LangGraph.

• Solid knowledge of machine learning algorithms, optimization techniques and statistical modelling approaches.

• Effective communicator with the ability to collaborate across both technical and business teams.

• Excellent analytical and problem-solving skills, with a high level of attention to detail.

• Proven experience mentoring others and contributing to technical leadership.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.