Machine Learning Engineer

About the Role

Key Responsibilities

• Participate in cutting-edge research and development in LLMs for various, cutting-edge internal applications including drug discovery/development and biomedical problems.
• Develop LLMs including data engineering, pretraining, finetuning, post-training, and evaluation as well as deploy models in production environments, working closely with other engineers to ensure scalability and reliability.
• Solve core ML and engineering challenges including the design, implementation, and scaling of data, training, and deployment pipelines.
• Collaborate closely with cross-functional teams across both Prescient Design and gRED to solve complex problems in the life sciences.

Requirements

• MS/BS in Computer Science, Statistics, related field, or equivalent experience with 2+ years of industry experience in machine learning; or a PhD in Computer Science and related field with 0+ years of industry experience.
• Demonstrated success in deploying machine learning models in production environments or in ML/LLM research.
• Strong programming skills in Python.
• Extensive experience with deep learning/LLMs.
• A dynamic and resilient individual who excels in a rapidly evolving environment, taking initiative on projects and continuously learning and adapting to new challenges and opportunities.
• A collaborative and open-minded team player who values constructive feedback, refrains from judgment, and fosters a positive and respectful team environment.
• Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership.
• Experience collaborating with external scientific partners, such as academic institutions or industry research groups.
• An extensive track record of delivering innovative solutions in machine learning.

Nice to Have

• Experience with large-scale, distributed machine learning systems.
• Experience working in the biotechnology or pharmaceutical industry.
• Knowledge of biomedical or life sciences applications.

Qualifications

• MS/BS in Computer Science, Statistics, related field, or equivalent experience.
• 2+ years of industry experience in machine learning or a PhD in Computer Science with 0+ years of experience.

Benefits & Perks

• Relocation benefits are available.
• Discretionary annual bonus based on individual and company performance.
• Competitive salary range of $141,100 - $262,100 based on experience and location.
• Additional benefits as detailed in the provided link.