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Senior Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

3+ years in machine learning systems, Experience with optimization problems, Ability to work with large datasets, Proficient in writing efficient code, Experience in healthcare is a plus.

Key responsabilities:

  • Collaborate with engineering and product teams
  • Develop and test novel features offline
  • Build and monitor machine learning systems
  • Stay updated with ML advancements
Apella logo
Apella Healthtech: Health + Technology Startup https://apella.io/
11 - 50 Employees
About Apella
Apella is a technology company for better surgery. We use artificial intelligence, computer vision, and modern communications to improve the most critical aspect of healthcare.
See more Apella offers

Job description

Who we are:

Apella is applying computer vision, machine learning and natural language processing to improve the standard of care in the most critical aspect of healthcare: surgery. We build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care.

The Role:

You are a machine learning generalist who enjoys dealing with the important parts of the problem, namely getting the right data into the right place to build effective models. You are a team player who can work closely with software engineers on product and infrastructure to take loose specifications and create delightful product experiences. As an early member of the team, you will have the opportunity to set the culture of our machine learning team.

Our benefits
  • Competitive salary and stock options
  • Flexible vacation and a work culture that allows for taking time to recharge
  • Remote first culture with unique events to help integrate the team
  • Generous health, dental, and vision insurance - we are a health care company that takes care of our employees' health
  • 4 months parental leave

    • What you bring:
  • Experience working on a variety of optimization problems, from recommender systems to classification or clustering
  • 3+ experience working on machine learning systems dealing with the full production workflow and monitoring
  • Experience dealing with real world large-scale datasets
  • Ability to write readable, tested, efficient code with other engineers
  • A strong belief in craft and the quality of your work product

    • What is also nice:
  • Experience working in healthcare or another regulated industry
  • Familiarity developing SaaS products for a business customer

    • What you'll do:
  • You will work closely with engineering, product and data science teams to understand business problems and the potential for ML/AI solutions
  • Develop novel features and test them offline to improve performance
  • Build and integrate and monitor end to end lifecycles of large-scale, distributed machine learning systems
  • Stay up to date with the recent advancements in the field of machine learning and deep learning

    • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Healthtech: Health + Technology
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Machine LearningComputer VisionCode ComplexityNatural Language Processing (NLP)Data ManagementHospital ExperienceMathematical OptimizationWorkflow Management

    Other Skills

    • Problem Solving
    • Collaboration
    Are you interested?

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