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:

    J36993

  • Specialized Area:

    Machine Learning

  • Job Title:

    Machine Learning Engineer

  • Location:

    Santa Clara Valley,CA

  • Duration:

    8 Months

  • Domain Exposure:

    Healthcare, Insurance, Retail, Government, Telecom, Education, Real Estate, Oil & Gas

  • 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)




Job Description
 Are you a self-starter looking for an exciting career opportunity? Do you like to ship Data Science and Machine Learning solutions that impact millions of users around the world? A job at Apple is unlike any other you’ve had. You’ll be challenged, inspired, and you will be proud of your work. Maps are a significant part of our everyday lives. Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a peculiar restaurant for dinner with friends, you are relying on information from the Maps Data Engineering Team. Our Maps team is charged with aggregating, processing, filtering and conflating data from many sources and multiple modalities and presenting a unified, rich, and up to date set of Points of Interest (POIs) to hundreds of millions of Apple Maps users across the world. We’re looking for a Scientist/Engineer who can take projects from initial data mining and research through all stages of prototyping, development, and final integration into the production code that goes out to the users. At Apple, our team provides the foundation for building extraordinary customer experiences, with features that have become an indispensable part of so many lives around the world.
Key Qualifications
  • 3+ years of experience in building large scale machine learning systems
  • Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics
  • Experience working with large scale and real world datasets
  • Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch
  • Experience applying NLP and machine learning techniques to text data.
  • Deep learning, computer vision, topic modeling, graph algorithms are pluses
  • Knowledge of Apache Hadoop, Spark, Solr/Lucene, Cassandra, and related technologies
  • Strong programming skills in Java, Scala, Python, or C++
  • Metrics focused and passionate about delivering models that render high quality results and make an impact to the product

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