Senior Machine Learning Engineer

About the role

The Senior Machine Learning (ML) Engineer will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues.

Responsibilities

• Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field.
• Perform analyses on large datasets using high-performance computing infrastructures.
• Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools.
• Develop and maintain data pipelines for training, evaluating, and deploying models.
• Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods.
• Ensure data quality, security, and compliance with privacy regulations.

Requirements

• Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience.
• 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).
• 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch).
• 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
• 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).

Qualifications

• Experience can be concurrent with education.

Skills

• Expertise in Natural Language Processing (NLP) and Large Language Models (LLMs).
• High proficiency in at least one scientific programming language (e.g., Python/R, Matlab).
• Experience in Linux environments, version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
• Practical experience in developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).

Benefits

Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs.

Pay

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.