Staff Research Engineer – AI & Machine Learning

This is a fully remote position, open to applicants in India, +5 more countries.

📋 Description

• Examine the capabilities, constraints, and training methodologies of cutting-edge AI systems.

• Develop research inquiries that will guide AI products, platforms, and technical strategies.

• Investigate synthetic and agentic data creation, reinforcement learning, post-training processes, model comprehension, benchmarks, and evaluation metrics.

• Keep abreast of advancements in machine learning and pinpoint significant technical contributions.

• Create research-quality datasets, experiments, prototypes, tools, and evaluation frameworks.

• Train, assess, and evaluate models utilizing contemporary AI and machine learning tools.

• Analyze experimental outcomes and formulate evidence-based conclusions.

• Establish stringent practices concerning data integrity, reproducibility, experimental design, and evaluation.

• Transition from research hypotheses to validated technical insights through iterative processes.

• Collaborate with Research, Engineering, Product, and Operations teams to transform findings into practical applications.

• Convey technical findings to both specialized and cross-functional audiences.

• Contribute to technical documentation, publications, open-source initiatives, workshops, or conferences as applicable.

• Mentor engineers and researchers while participating in technical discussions and peer reviews.

⛳️ Requirements

• Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical discipline.

• Over 7 years of professional experience, with substantial research engineering experience in machine learning or advanced AI systems.

• Solid foundations in machine learning, along with practical experience in designing experiments, training models, evaluating models, or developing AI systems.

• Proven research experience in synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, AI benchmarks, or AI agents/tool-using systems.

• Proficient in Python programming with the capability to implement, test, and refine quickly in research settings.

• Familiarity with modern AI/ML frameworks, tools, and research workflows.

• Strong scientific judgment regarding experimental rigor, data integrity, reproducibility, and evidence-based decision-making.

• Exceptional technical communication skills and the ability to work autonomously across research and engineering teams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work arrangements.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.