W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:


  • Specialized Area:

    Machine learning

  • Job Title:

    mechine learning

  • Location:

    San Francisco,CA

  • Duration:

    9 Months

  • Domain Exposure:

    Pharmaceuticals, Retail, Real Estate

  • 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)

  • Bench Recruiter:

    Patrick Perez

Job Description

Job 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. 

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Equal Opportunity Employer

QUANTUM 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. QUANTUM 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 QUANTUM 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