Job ID:
J36993
Specialized Area:
Machine learning
Job Title:
Machine Learning Engineer
Location:
San Francisco,CA
Duration:
12 Months
Domain Exposure:
Manufacturing, Banking & Finance, Retail, Government, Telecom, IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Description:
Formulate predictive modeling and learning scenarios and apply cutting-edge machine learning (deep learning) approaches for data-driven decision making
Develop new approaches to open questions posed by colleagues of their processes and related datasets
Operationalize machine learning solutions by collaborating in the development of appropriate infrastructure and interfaces
The successful candidate will provide strong problem-solving skills and hands-on software engineering capability to implement a wide range of data and machine learning solutions.
Scenarios include working alongside experts in familiar applications of machine learning in the biotechnology domain, e.g., patient selection, bioinformatics, cheminformatics, molecular biology, biomedical informatics, Example application areas include:
Application of supervised, unsupervised, semi-supervised, reinforcement learning, and transfer learning methods to derive robust representations from small labeled and large unlabeled datasets.
Applications of convolutional neural networks for detection, segmentation, and classification of various biological and medical imaging data.
Applications of generative models in drug discovery and optimization.
Applications of NLP and Sequence models for disease prognosis, patient selection, and treatment optimization.
The position requires an individual with demonstrated engineering rigor and excellent communication and collaboration skills.
Keen interest and hands-on expertise in the interdisciplinary application of advanced machine learning methods to biotechnology research scenarios are imperative.
DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract