Embedded Research Scientist

About the role

As an Embedded Research Scientist at Percepta, you will advance the frontier of AI research while working directly with customers to drive real-world impact. You will work on post-training, reinforcement learning, agentic modeling, and specialized architectures but with a focus on translating research breakthroughs into production systems that transform how critical industries operate.

Responsibilities

• Work directly with customers to identify high-impact research problems at the intersection of frontier AI capabilities and critical business needs.
• Design and execute research strategies across LLM post-training, RL, agentic modeling, and specialized model development that address customer-specific challenges.
• Prototype and scale training pipelines, experiment with model architectures, optimization techniques, and post-training strategies with rapid iteration cycles based on customer feedback.
• Conduct customer-facing evaluations at scale that demonstrate clear business value and drive adoption of AI systems in production environments.
• Translate ambiguous business problems into concrete research questions, and translate research outcomes back into actionable insights for both technical and non-technical stakeholders.
• Partner closely with Applied AI Engineers to transition successful research ideas into robust, production-ready features of our Mosaic platform.
• Build trusted relationships with customer technical teams and executives, helping them understand how cutting-edge research can solve their specific problems.
• Contribute to infrastructure for high-performance distributed training and establish reusable patterns that accelerate future research and deployment.

Requirements

• An MS/PhD in Computer Science, ML, a related field, or equivalent experience.
• Depth in LLM and ML fundamentals.
• Comfortable implementing and debugging large-scale ML systems.
• Ability to work directly with customers: translate business problems into research problems, communicate complex technical concepts to non-technical stakeholders, and iterate based on customer feedback.
• Motivation to see your research deployed in production and create value in critical industries including healthcare, supply chains, energy, and finance.
• A proven track record of execution.
• Excellent communication skills with both technical and non-technical stakeholders.
• Passion for AI's transformative potential and bridging the gap between research and real-world deployment.

Qualifications

• Experience working with critical industries such as healthcare, supply chains, energy, and finance.
• Strong background in machine learning and deep learning.
• Knowledge of distributed systems and cloud-based services.
• Experience with natural language processing and computer vision.
• Ability to work independently and as part of a team.

Skills

• Strong programming skills in Python, R, or other relevant languages.
• Experience with TensorFlow, PyTorch, or other deep learning frameworks.
• Understanding of reinforcement learning and its applications.
• Experience with data preprocessing and feature engineering.
• Knowledge of ethical considerations in AI research and deployment.

Benefits

• Competitive salary commensurate with experience.
• Flexible work schedule.
• Health insurance and retirement benefits.
• Professional development opportunities.
• Collaborative and supportive work environment.

Pay

Salary is competitive and commensurate with experience.

Schedule

Flexible work schedule available.