StealthCo: Machine Learning Scientist

Key Skills

Aartificial intelligence, Deep Learning, Large Language Models - LLMs, Machine learning techniques, Python Programming

Job Description

The Role

We are seeking a talented Machine Learning Scientist. The successful candidate will develop and apply cutting-edge machine learning (ML) paradigms to create autonomous agent-based AI systems. This position is ideal for someone with broad expertise in machine learning, deep learning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation in large language models. You will build lifelong-learning systems in high-value realms of human innovation and creativity.

Key Responsibilities:

• Develop and prototype LLM-based autonomous AI agent systems in single and multi-agent simulations.
• Leverage human behavior data to fine-tune and validate AI agent behavior.
• Design and develop an optimized data pipeline along with our ML engineers to facilitate scalable training and deployment of autonomous AI agent systems.
• Experiment with techniques to augment the quality and volume of training and validation data.
• Collaborate closely with other ML scientists to enhance the quality of our AI agent systems.
• Communicate findings to a multi-disciplinary audience.

Qualifications:

• PhD in any computational field (e.g., machine learning, computer science, applied math, neuroscience, computational biology, physics, etc.)
• Publication record in deep learning research, preferably in large language model research
• Prior industry internship or research experience
• Fluency in Python and standard ML tools and packages
• Motivated and team oriented, with an ability to thrive in a multidisciplinary environment
• Must be able to think independently and work collaboratively

Successful candidates will be able to thrive in a fast-paced, action-oriented, team environment and display a clear passion for AI innovation and impact. The role offers a unique opportunity to help drive the strategy of an early-stage AI-focused company. The candidate must be an entrepreneurial, highly motivated, and purpose-driven individual. The successful candidate will have a track record of accomplishments in machine learning as well as demonstrated high-impact research in academia or industry. S(he) must exhibit strong collaboration and communication skills. S(he) should be ready to champion new ideas and lead breakthrough AI/ML method development in a very dynamic and innovative environment.  

You would be able to openly collaborate with Pioneering Intelligence, a strategic initiative within Flagship Pioneering dedicated to AI/ML research and innovation. You will have an opportunity to work with world-class ML scientists and engineers who work on cutting-edge AI research in generative modeling and large language models.

More About Flagship Pioneering

Flagship Pioneering conceives, creates, resources, and develops first-in-category life science platform companies to transform human health and sustainability. Since its launch in 2000, the firm has, through its Flagship Labs unit, applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $100 billion in aggregate value. To date, Flagship has deployed over $3.1 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. The current Flagship ecosystem comprises transformative companies, including Moderna (NASDAQ: MRNA), Sana Biotechnology (NASDAQ: SANA), Seres Therapeutics (NASDAQ: MCRB), Axcella Health (NASDAQ: AXLA), Denali Therapeutics (NASDAQ: DNLI), Foghorn Therapeutics (NASDAQ: FHTX), Generate Biomedicines, and others.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.