AbleTo

  • Sr. Software Engineer- Machine Learning

    Job Locations US-NY-New York
    Posted Date 4 weeks ago(06/25/2018 7:16 PM)
    ID
    2018-1866
    # of Openings
    1
    Category
    Data
  • Overview

    AbleTo, Inc. is a market leader in providing technology-enabled behavioral health care. AbleTo has been treating patients for over six years, and improves patient outcomes and lowers costs by providing treatment that integrates behavioral and medical health care. AbleTo's structured therapy programs strengthen medical recovery and self-care among members with chronic or complex clinical needs. AbleTo analytics, coupled with our multi-channel engagement platform, identify and engage members with unmet, often undiagnosed, behavioral health needs. A proprietary platform connects individuals and their care teams with AbleTo licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. AbleTo programs are clinically proven to improve both behavioral health and medical outcomes while lowering overall spending for higher-cost, higher-risk members. AbleTo's investors include .406 Ventures, Sandbox Industries, HLM Venture Partners, Horizon Healthcare Services, Inc., Bain Capital Ventures, and Aetna Ventures.

    AbleTo is looking for a Senior Software Engineer to join our team in the Machine Learning space. You will work on building our world class ML platform to address variety of problems in the behavioral health space. You will work with a team to come up with new and interesting hypotheses, test them, and scale them up to huge data sets with hundreds of billions of data points. You will design and build analytic and conversational APIs that drive our clinical workflow applications with data-driven insights. Above all, your work will impact the way the world experiences behavioral healthcare.

    Responsibilities

    • Design machine learning platforms and pipelines for training and running machine learning models on distributed systems.
    • Build high-scale Google Cloud container infrastructure to apply machine learning methods to massive data sets in production environments.
    • Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features.
    • Help drive optimization, testing and tooling to improve data quality.
    • Determine the feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies.
    • Work closely with management, research teams, product owners, and fellow team members to develop specifications with clear deliverables to ensure timely completion.

    Other Responsibilities:

    • Work closely with data scientists and business intelligence teams productionizing machine learning algorithms.
    • Manage large quantities and varieties of information as well as troubleshoot noisy, complex data.

    Qualifications

    Position Requirements

    • Bachelor's degree in Engineering, Computer Science or related technical field (or equivalent). Advanced degree preferred.
    • 5+ years experience in IT software development operations.
    • Strong experience manipulating, processing and extracting value from large disconnected, multi-source datasets including both structured and unstructured data.
    • Strong SQL & NOSQL programming experience working with a variety of “big-data” technologies (Spark, Scikit-Learn, PyBrain, Tensorflow), languages (Python, Java, R) and data warehousing & analysis architectures.
    • Strong experience using massively multi-parallel platforms-as-a-service such as Google Big Query, Big Table, AWS RedShift and/or Hadoop.
    • Strong experience with data engineering tasks (e.g. deploying ML models, building data pipelines) to facilitate the transitions of data science and business intelligence innovations into production.
    • Strong experience using modern data pipeline technologies (Luigi, Airflow, Google DataFlow).
    • Solid understanding of clustered ‘container’ technologies (e.g. Docker and/or Kubernetes).

    Competencies:

    • Proven ability to build and maintain strong, productive working relationships with internal stakeholders and external customers.
    • Experience collaborating on code with other developers using git - this is a highly diverse team of subject matter experts that interacts regularly, and collaboration is at our core.
    • Experience with confidential healthcare data, including familiarity with HIPAA & PHI a plus.
    • Ability to exercise sound judgment, discretion, and timeliness in decision making.
    • Excellent communication skills, both written and verbal.

     

    Upon offer of employment, AbleTo requires the satisfactory completion of reference and background checks and successful completion of drug testing in accordance with local, state and federal laws.

     

    AbleTo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. AbleTo is an E-Verify company.