

Machine Learning Engineer, Mid-Level
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Machine Learning Engineer with a PhD or MS and 3+ years of experience, focusing on molecular design. Contract length and pay rate are unspecified. Key skills include machine learning libraries and collaboration.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 15, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Francisco, CA
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π§ - Skills detailed
#Computer Science #AI (Artificial Intelligence) #Supervised Learning #Deep Learning #GitHub #PyTorch #ML (Machine Learning) #Libraries
Role description
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Job Summary:
Harvest Technical Services, Inc. is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on developing machine learning methods for molecular design. The role involves managing projects that deploy new techniques for molecular optimization and collaborating closely with scientists in the gRED organization.
Responsibilities:
β’ You will join Prescient Design within the Computational Sciences organization in gRED.
β’ You will closely collaborate with scientists within Prescient and across gRED.
β’ You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
β’ You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
β’ You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
β’ PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
β’ Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases).
β’ Record of achievement, including at least one high-impact first author publication or equivalent.
β’ Excellent written, visual, and oral communication and collaboration skills.
Preferred:
β’ Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit).
β’ Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
β’ Public portfolio of computational projects (available on e.g. GitHub).
Company:
At Harvest Technical Services Inc., βOur Talent is Finding Yoursβ. Founded in 1997, the company is headquartered in Walnut Creek, California, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Harvest Technical Services, Inc. is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on developing machine learning methods for molecular design. The role involves managing projects that deploy new techniques for molecular optimization and collaborating closely with scientists in the gRED organization.
Responsibilities:
β’ You will join Prescient Design within the Computational Sciences organization in gRED.
β’ You will closely collaborate with scientists within Prescient and across gRED.
β’ You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
β’ You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
β’ You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
β’ PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
β’ Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases).
β’ Record of achievement, including at least one high-impact first author publication or equivalent.
β’ Excellent written, visual, and oral communication and collaboration skills.
Preferred:
β’ Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit).
β’ Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
β’ Public portfolio of computational projects (available on e.g. GitHub).
Company:
At Harvest Technical Services Inc., βOur Talent is Finding Yoursβ. Founded in 1997, the company is headquartered in Walnut Creek, California, USA, with a team of 51-200 employees. The company is currently Growth Stage.