[893YJYHP] AI Research Engineer - Machine Learning

• 7+ years of professional experience with significant research engineering experience in Machine Learning or Frontier AI
• PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related technical field; equivalent research experience may be considered
• Strong foundations in Machine Learning with hands-on experience designing experiments, training models, evaluating models, or developing AI systems

• Research experience in one or more areas: Synthetic/Agentic Data Generation

  Reinforcement Learning

  Post-Training

  Model Understanding

  AI Evaluation

  Benchmarks

  AI Agents

• Strong Python programming skills and experience with modern AI/ML frameworks and tooling
• Strong understanding of experimental rigor, data quality, reproducibility, and evidence-based research
• Ability to independently investigate research questions, build prototypes, run experiments, and analyze results
• Experience providing technical leadership and mentoring

• Minimum 40 hours/week
• At least 8 hours/day
• Minimum 4 hours overlap with PST business hours

What You’ll Work On:

• Research capabilities, limitations, and training methods of frontier AI systems
• Develop datasets, experiments, prototypes, tooling, and evaluation frameworks
• Explore synthetic data, agentic data generation, RL, post-training, model understanding, benchmarks, and evaluation
• Train, test, and evaluate AI models using modern ML tools
• Analyze experimental results and generate evidence-based technical insights
• Develop AI environments for coding agents, computer-use/browser-use agents, and tool/function-calling agents
• Translate research findings into scalable AI products and applications
• Collaborate with Research, Engineering, Product, and Operations teams
• Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate

Interested candidates: Please share your updated CV with LinkedIn profile at: raviteja.k@zettamine.com