Machine Learning Researcher

GRhombus is hiring on behalf of a leading technology organization for a Senior Machine Learning Researcher.

This is a high-impact individual contributor role focused on leading complex ML research initiatives and developing innovative, production-ready machine learning solutions.

The role will involve taking ML research projects from problem definition and experimentation through model development, evaluation, and deployment. The position also provides opportunities to contribute to AI innovation, technical strategy, and the mentoring of junior researchers.

Key Responsibilities

ML Research & Innovation

• Lead end-to-end ML research projects, from problem definition through experimentation, model design, evaluation, and deployment.
• Identify new ML techniques, architectures, and workflows that can improve existing systems or enable new product capabilities.
• Design and guide comparative studies, benchmarks, and feasibility assessments for emerging ML methods.
• Develop custom ML models for specific customer requirements.
• Work on image-related ML models supporting application features.

Technical Execution

• Develop scalable and high-performance ML training pipelines using modern frameworks such as PyTorch and JAX.
• Design and develop complex ML models, including:
• Embeddings
• Transformers
• Diffusion models
• Multimodal systems
• Collaborate with ML Engineers and MLOps teams to transition research outputs into production-grade systems.

Mentorship & Technical Leadership

• Mentor and provide technical guidance to junior ML Researchers.
• Contribute to the technical growth and development of ML research team members.
• Review code, experimental designs, and research results.
• Establish standards for research documentation, reproducibility, and technical quality.
• Contribute to best practices and technical strategy for the broader ML function.

Cross-Functional Collaboration

• Work closely with Product and Engineering teams to align ML research with product objectives and user requirements.
• Collaborate with Data Engineering teams to define datasets and labeling strategies for advanced ML pipelines.
• Contribute to long-term planning for ML investments and team capacity.

Required Qualifications & Experience

• M.Sc. in Machine Learning, Computer Science, Applied Mathematics, or a related field with 5–6 years of industry experience.

OR

• Ph.D. in a relevant field with 2–3 years of post-graduate industry experience.
• Demonstrated experience owning ML research projects from design through deployment.
• Strong expertise in one or more areas such as:
• Deep Learning
• Generative Modeling
• Time Series
• Computer Vision
• Large Language Models
• Proven experience mentoring junior ML researchers.
• Proficiency in Python and modern ML tooling.
• Hands-on experience with tools/frameworks such as:
• PyTorch
• JAX
• Hugging Face
• Weights & Biases
• Understanding of production ML constraints including latency, memory, real-time inference, and model lifecycle management.

What We're Looking For

We are looking for a Senior ML Researcher who can combine strong research capabilities with practical engineering skills and successfully translate innovative ML concepts into production-ready solutions.

The ideal candidate should be comfortable working across research, experimentation, model development, production integration, and technical mentoring.

How to Apply

Interested candidates can apply through LinkedIn or share their updated resume with GRhombus.

GRhombus is the hiring partner responsible for sourcing and screening candidates for this opportunity.

This version keeps the important requirements from the original JD, including the custom customer-specific models and image-related models, while removing the client's name and employer-specific branding.