Senior Machine Learning Engineer/ Applied Research

About the Company

We are a fast-growing, product-focused AI company operating at the intersection of applied research and real-world deployment. Our team partners closely with customers to design, build, and productionize advanced machine learning systems that solve complex, high-impact problems.

We emphasize ownership, speed, and innovation-empowering engineers to take ideas from concept to production while staying at the forefront of emerging AI technologies.

About the Role

We are seeking a Senior Machine Learning Engineer who thrives at the intersection of applied research and hands-on engineering. This role blends approximately 30% research (reading, synthesizing, and contributing to academic work) with 70% production-focused development.

You will play a key role in evaluating cutting-edge techniques and translating them into scalable, real-world systems. This is a highly autonomous role where you will own end-to-end ML initiatives, especially for new problem domains, building solutions from 0 1.

What You'll Do

• Stay at the forefront of machine learning by reading and synthesizing academic papers in areas such as:
  
  
  
  • Deep Learning
  
  
  • Large Language Models (LLMs)
  
  
  • Reinforcement Learning
  
  
  • Multimodal AI
  
  
  
  


• Publish research findings internally and externally to guide engineering direction


• Evaluate emerging techniques and determine their applicability to real-world use cases


• Contribute to technical thought leadership and influence company-wide ML strategy

• Design, build, and deploy production-grade machine learning systems


• Develop scalable pipelines for training, evaluation, and inference


• Work with modern ML frameworks and tooling to train and optimize models


• Implement and iterate on models across domains including language, vision, and multimodal data


• Collaborate cross-functionally to integrate ML systems into customer-facing products

• Lead 0 1 builds for new customer domains or problem spaces


• Own the full lifecycle: problem definition, modeling, experimentation, deployment, and iteration


• Operate with a high degree of autonomy while maintaining strong alignment with team goals


• Mentor junior engineers and contribute to best practices across the team

What We're Looking For

• 4 years of experience in Machine Learning Engineering or Applied Research roles


• Strong programming skills in Python and experience with ML ecosystems


• Hands-on experience with:
  
  
  
  • Deep Learning frameworks (e.g., PyTorch, TensorFlow)
  
  
  • Large Language Models (LLMs) and/or generative AI systems
  
  
  • Model training, evaluation, and optimization techniques
  
  
  
  


• Experience reading and applying academic research in practical settings

• Prior experience publishing or contributing to research papers (industry or academia)


• MS or PhD in Computer Science, Machine Learning, or a related field is a plus


• Ability to bridge theoretical concepts with production systems

• Reinforcement Learning (RL) or RLHF


• Multimodal systems (vision, video, audio, etc.)


• AI safety, security, or reliability in production environments


• Experience working in ambiguous, fast-paced environments or startup settings

What Makes This Role Unique

• High ownership: You will lead initiatives end-to-end, not just contribute to isolated components


• Research production blend: Directly apply cutting-edge research to real-world systems


• 0 1 opportunities: Build entirely new solutions for emerging customer needs


• Impact-driven work: Your contributions will shape both product direction and technical strategy

Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

Salary : $230,000 - $250,000