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Manager Spacex Machine Learning Jobs in Utah (NOW HIRING)

They are seeking an experienced Data Scientist to solve data-driven healthcare problems using machine learning and predictive modeling methods, while collaborating with Product Management and ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...

... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...

... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...

... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...

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Manager Spacex Machine Learning information

What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?

AspectManager Spacex Machine LearningData Scientist Spacex
CredentialsAdvanced degrees in CS, ML, or related fields; leadership experienceDegree in CS, Data Science, or related fields; strong analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, model development, experimentation
Industry UsageOversees ML teams, manages projects, aligns with business goalsBuilds models, analyzes data, provides insights

The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.

What are the most commonly searched types of Spacex Machine Learning jobs in Utah? The most popular types of Spacex Machine Learning jobs in Utah are:
What cities in Utah are hiring for Manager Spacex Machine Learning jobs? Cities in Utah with the most Manager Spacex Machine Learning job openings:
Platform Engineer Machine Learning (Utah)

Platform Engineer Machine Learning (Utah)

Patientco

Lehi, UT • On-site

Other

Medical, Retirement, PTO

Posted 2 days ago


Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Developand enhance the machine learning platform to manage the full model life cycle

  • Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models,supportscalablereal-time predictions in production

  • Design and implementdata engineering solutionsformodel training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implementhigh-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensuretimelydelivery of quality software and documentation

  • Understandand adhere to development standards for consistency across teams

  • Performin-depthtechnical and performance analyses to troubleshoot production issues

  • Monitor andmaintainproduction systemsfor reliability and efficiency

WHAT YOU'LL NEED

  • MinimumRequirements (Education,certificationsand experience):

  • Bachelor's degree in Computer Scienceor related area,Masters preferred

  • 7+ years of professional experience writing Pythonor Javacode,with at least 3 years building data platforms

  • Expertproficiencywith SQL

  • NLP

  • Seasoned practitioner of engineering best practices such asCI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring,applyingand following the evolution ofcutting edgetechnologies related to AI, machine learning, NLP andlarge scaledata processing

  • Professional experience withMLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS orGCP

  • Proventrack recordof successful delivery of progressively complex technical projects

  • Coaching and mentoring junior engineers in the team

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity withClearML, Triton,PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Provenexpertisein successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.