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:

    J36410

  • Posted Date:

    09/27/2019

  • Specialized Area:

    Machine learning

  • Job Title:

    Maching Learning Engineer

  • Location:

    Los Altos,CA

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Retail, Real Estate, Oil & Gas, 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)

  • Bench Recruiter:

    ROBIN HANSON




Job Description

Responsibilities

  • Build machine learning models using deep learning techniques for computer vision tasks such as semantic segmentation, object detection, video understanding, etc.
  • Address large scale challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering.
  • Manipulate high-volume, high-dimensionality, structured data from driving logs for training and testing deep networks.
  • Produce high quality tested code that enables large scale research and can be transferred to physical robots deployed in the real world.
  • Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Research Scientists.
  • Work in a multidisciplinary team and collaborate with other teams across the company.
  • Present results in verbal and written communications, including potentially at top international conferences.

Qualifications

  • Bachelor's Degree in Computer Science, Math, Physics or related field.
  • Proficient in Python and Unix is a minimum. Additional knowledge of C++ / CUDA is a plus, experience with AWS as well.
  • Good software engineering skills, grounded in principled best practices.
  • Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms.
  • Deep Learning and Computer Vision expertise not required - but recommended. Familiarity with PyTorch or other deep learning frameworks is a bonus.
  • You are passionate about ML, both large scale engineering and research challenges, especially in the space of Automated Driving.
  • You are a reliable team-player. You like to think big and go deeper. You care about openness and delivering with integrity.

Apply Now
Equal Opportunity Employer

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


Equal Opportunity Employer

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