What are the responsibilities and job description for the Machine Learning Scientist position at Boston Bioprocess, Inc.?
About Boston Bioprocess
Boston Bioprocess, Inc.'s mission is to help fermentation product companies develop and scale up production. We specialize in providing innovative solutions and services to support the research, development, and manufacturing processes of our clients.
About the role
We are seeking a highly motivated and talented Machine Learning Scientist to join our growing team. You will play a key role in developing and deploying cutting-edge machine learning models to solve challenging real-world problems.
This role requires a strong theoretical understanding of machine learning, practical experience building and optimizing complex models, and a passion for pushing the boundaries of what's possible. You will work with complex, often sparse datasets, and tackle multi-objective optimization problems.
We are a service business, and client retention and satisfaction are core to our business model. Prospective candidates should understand that success requires technical expertise, but it also involves empathy, prompt communication, and a general can-do attitude to solving open-ended challenges.
What you'll do
Design, develop, and implement machine learning models, including deep learning and transformer-based architectures, from scratch.
Work with large, sparse datasets, applying appropriate techniques for feature engineering, dimensionality reduction, and imputation.
Develop and optimize multi-objective models to balance competing objectives and achieve optimal trade-offs.
Conduct rigorous experimentation and analysis to evaluate model performance and identify areas for improvement.
Stay up to date with the latest advancements in machine learning research and apply them to practical problems.
Collaborate with cross-functional teams, including engineers, product managers, and domain experts, to translate research into production-ready solutions.
Contribute technical documentation and presentations to communicate research findings and model performance.
Participate in code reviews and contribute to maintaining high-quality code standards.
Qualifications
Master's or above in computer science, Machine Learning, Statistics, or a related field.
1-3 years of proven industry experience in building and training deep learning models (e.g., CNNs, RNNs, Transformers) from scratch, and applying machine learning techniques to real-world problems.
Strong theoretical understanding of machine learning algorithms, including deep learning, reinforcement learning, and statistical modeling.
Demonstrable experience working with sparse data and implementing techniques to handle sparsity (e.g., sparse matrices, embedding layers).
Experience developing and optimizing multi-objective models and understanding trade-off analysis.
Proficiency in programming languages such as Python.
Excellent communication and collaboration skills.
Strong problem-solving and analytical skills.
Nice to have
Experience with handling biological and fermentation data.
Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
Experience with distributed training and large-scale model deployment.
Contributions to open-source machine learning projects.
Publications in top-tier machine learning conferences or journals.
Experience with MLOps tools and practices.
What we offer
Salary of $90K to $125K depending on qualifications
Relocation assistance (if applicable)
Complete benefit package, including 401K match, ESOP, health, life, vision, and dental insurance, and four weeks paid vacation.
Competitive salary and compensation, including significant company stock options.
Sponsorship and adjustment of work visas and immigration related support (must be currently a resident of the United States.
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