This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Research Scientist / Research Engineer in India.

This role sits at the intersection of cutting-edge machine learning research and real-world product impact, focused on building adaptive, efficient, and continuously learning AI systems. You will work on frontier problems such as real-time learning, gradient-free optimization, and model efficiency, helping design systems that evolve based on live user and product signals. The environment is highly research-driven but grounded in practical deployment, where ideas are validated through production systems rather than papers alone. You will collaborate across research, engineering, and infrastructure teams to co-design algorithms and interfaces as a unified system. This is a high-impact role for individuals passionate about pushing the boundaries of intelligence that interacts dynamically with the real world. The team values urgency, technical excellence, and bold experimentation in solving complex ML challenges.

Accountabilities

You will contribute to the design and development of adaptive machine learning systems that continuously learn from real-time feedback and product signals. Your work will span algorithm innovation, system optimization, and close collaboration with cross-functional teams to ensure research translates into measurable product impact.

Innovate on model and system design to enable real-time learning and adaptive AI behavior
Co-design algorithms that integrate user feedback and product signals to improve performance
Develop new approaches for collecting, shaping, and leveraging synthetic and real-world data
Collaborate across software, hardware, and research teams to optimize full-stack system efficiency
Define and evaluate meaningful metrics tied to real-world impact and user value
Translate research ideas into production-ready systems and scalable solutions

Requirements

You are expected to bring strong academic and industry research experience in machine learning, along with a systems-oriented mindset and hands-on engineering skills. The ideal candidate is comfortable working across the full ML stack and contributing to both theoretical and applied advancements.

PhD or equivalent research experience in computer science or a related field
4-5+ years of industry experience in machine learning or AI research
Deep expertise in at least one area such as model efficiency, real-time alignment, or algorithmic optimization
Strong systems thinking and ability to optimize across the full machine learning pipeline
Proficiency in Python and experience with frameworks such as PyTorch, JAX, or TensorFlow
Knowledge of optimization techniques including reinforcement learning from human feedback and fine-tuning methods
Experience working in large-scale industrial or research lab environments
Strong collaboration skills, adaptability, and a willingness to experiment with bold ideas

Benefits

Flexible work arrangements including global remote work and optional in-person collaboration in the Bay Area
Team offsites designed to strengthen collaboration and innovation
Annual travel stipend to explore new countries and expand global perspective
Weekly meal or grocery delivery stipend
Comprehensive medical coverage and generous paid time off
Opportunity to work on frontier AI systems with high real-world impact

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.