[893YJYHP] AI Research Engineer – Machine Learning

Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity :- We are hiring AI Research Engineer – Machine Learning for a short-term Frontier AI Research, Reinforcement Learning & Model Evaluation project across:

🇺🇸 USA Eligible Locations: Alabama | Arizona | Colorado | Florida | Idaho | Iowa | Kentucky | Michigan | Minnesota | Mississippi | Missouri | Montana | New York | North Carolina | North Dakota | Oklahoma | Pennsylvania | South Carolina | South Dakota | Texas | Virginia | Wisconsin | Wyoming

Other Eligible Locations: 🇧🇩 Bangladesh | 🇧🇷 Brazil | 🇨🇴 Colombia | 🇪🇬 Egypt | 🇬🇭 Ghana | 🇮🇳 India | 🇵🇰 Pakistan | 🇮🇩 Indonesia | 🇳🇬 Nigeria | 🇹🇷 Turkey | 🇻🇳 Vietnam

Role: AI Research Engineer – Machine Learning

Experience: 7+ Years

Mode: Remote

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

• 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

Availability:

• 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: [email protected]

Thanks & Regards,

RaviTeja K

ZettaMine