Machine Learning Engineer/Scientist
Our client is seeking a Machine Learning Engineer/Scientist to join their team in New York, NY. Responsibilities might include contributing to and further expanding ongoing machine learning projects to develop more accurate molecular force-field models, optimize screening protocols to generate novel small molecules for drug discovery, accelerate the sampling within molecular dynamics simulations, etc. Ideal candidates will have demonstrated experience in developing deep learning approaches for biophysics, biochemistry, structural biology, drug discovery, cheminformatics, quantum chemistry, etc., as well as strong Python programming skills.
Demonstrated experience in developing machine learning approaches for biophysics, biochemistry, structural biology, drug discovery, cheminformatics, quantum chemistry, etc.
With a focus on deep learning techniques (deep neural networks, convolutional neural networks, recurrent neural networks, deep reinforcement learning, deep belief nets, Boltzmann machines, graphs, transfer learning, etc.).
We are open to considering candidates of all experience levels (provided there is ample evidence of deep learning expertise).
Strong Python programming ability (additional coding experience is a plus).
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
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