Machine Learning Operations Engineer

| Chicago
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Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The ideal candidate has experience putting industrial-scale Machine Learning Models into production, understands the needs of Data Scientists, is familiar with the biomedical domain, and is eager to apply his or her skills to improve patient outcomes.

What You Will Do:

  • Build and deploy robust, industrial scale Machine Learning Pipelines for Natural Language Processing
  • Facilitate End-to-end large scale machine learning model integration
  • Collaborate with product, science, engineering, and business development teams to build the most advanced data solutions in precision medicine

Required Qualifications:

  • BS/MS/PhD in a quantitative or computational field such as Computer Science, Computer Engineering, Machine Learning or related field and 2+ (for MS) or 5+ (for BS)  years of industry/academic experience.
  • Experience building and maintaining robust, large-scale Machine Learning Pipeline designed for portability, composability, scalability, repeatability, automation, CI/CD/CT, performance monitoring, model dashboarding.
  • Experience working in GCP, AWS, and other Cloud Environments.
  • Experience with Kubernetes (e.g. GKE, EKS).
  • Experience with Kubeflow.
  • Experience with ML model testing: model performance, model health, etc.
  • Knowledge of best practices for code development, documentation, testing and deployment patterns. 
  • Proficient in Python.
  • Strong programming skills, familiarity with software development cycles, solid understanding of software concepts - data structures and algorithms.
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly.
  • Team player mindset and ability to work in an interdisciplinary team.
  • Goal orientation, self motivation, and drive to make a positive impact in healthcare.

Preferred Qualifications:

  • Experience with deployment of Natural Language Processing models.
  • Experimental management and logging frameworks (e.g. MLflow), data and pipeline versioning.
  • Good familiarity with deep learning frameworks: PyTorch, TensorFlow, Keras.
  • Biomedical domain expertise.
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • AWSLanguages
    • ReactLibraries
    • ReduxLibraries
    • Node.jsFrameworks
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • PostgreSQLDatabases
    • SQLiteDatabases
    • tableuAnalytics
    • JIRAManagement
    • SalesforceCRM

Location

600 WEST CHICAGO AVENUE, Chicago, IL 60654

An Insider's view of Tempus

What makes someone successful on your team?

We value creativity in ideation, autonomy in execution, and a healthy tendency to always question the status quo.

Ash

Lead Data Scientist

What are Tempus Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Volunteer Time
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Diversity Program
Lunch and learns
Promote from within
Time allotted for learning
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