Senior Machine Learning Engineer - R&D

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi

Quantiphi is a cutting-edge AI and data science company focused on delivering transformative solutions through innovation and technology. Phi Labs(R&D) spearheads research and development in advanced machine learning, tackling complex real-world challenges through cutting-edge algorithmic innovation.

Role Overview

We are seeking a highly skilled Senior Machine Learning Engineer to join Phi Labs(R&D), specializing in cutting-edge AI technologies including agentic AI, multimodal learning, and generative AI. You will design and develop innovative models that enable autonomous, context-aware systems, integrate multiple data modalities (text, vision, audio, etc.), and create state-of-the-art generative models. This role offers a unique opportunity to push the boundaries of AI capabilities in a research-driven environment.

Key Responsibilities

• Design and develop advanced machine learning models focusing on agentic AI— enabling autonomous agents that perceive, reason, and act effectively in complex environments.

• Develop multimodal AI systems that seamlessly integrate and reason across diverse data types such as images, text, video, and audio.

• prototype and implement generative AI models (e.g., GANs, diffusion models, large language models) for innovative applications.

• Demonstrate deep expertise in core NLP concepts including tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., BERT, GPT, T5, and their variants).

• Stay current with cutting-edge research by actively reading, analyzing, and synthesizing insights from recent ML/AI papers to identify novel techniques and breakthrough applications for product innovation.

• Collaborate with data scientists, engineers, and product teams to build scalable ML pipelines and deploy models into production.

• Optimize and fine-tune large-scale models to improve performance, efficiency, and interpretability.

• Lead exploratory research efforts to identify novel AI techniques and applications, contributing to publications, patents, and technology roadmaps.

• Mentor junior team members and promote best practices in AI research and engineering.

• Design and implement state-of-the-art machine learning models for complex, large-scale problems.

• Proven ability to translate research papers into practical implementations and production-ready solutions
   

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, AI, or related fields.
  with 4+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (R&D).

• Master’s degree in Computer Science, Machine Learning, AI, or related fields.
  with 3+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (R&D)

• Deep expertise in developing and deploying agentic AI systems, multimodal learning models, and generative AI architectures.

• Proficiency with Python and ML frameworks like TensorFlow, Pytorch, Hugging Face Transformers, or similar.

• Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).

• Strong problem-solving, communication, and collaboration skills.
   

Preferred Skills

• Hands-on experience with reinforcement learning, large language models, diffusion models, or vision-language models.
   

• Knowledge of MLOps and model interpretability/explain ability frameworks.
   

• Experience with real-time AI systems or human-AI interaction models.
   

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!