Principal Machine Learning Engineer
San Jose
hace 6 días

People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them : people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company.

We're writing our next chapter. Be part of it!

At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward.

Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family.

On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time.

On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.

We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers.

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EOE AA / M / F / Vet / Disability Sage Software is an Equal Opportunity Employer. We comply with the laws set forth in the Equal Employment Opportunity in The Law poster :

Job Description

We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed.

As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Data Science and Machine Learning effort.

If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

Qualifications :

  • Keen interest in machine learning and 5+ years of practical experience with it
  • Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pandas, NumPy, Spark) and
  • Ability to write highly performant understandable code working with large volumes of data
  • Proficiency with Python, Pandas and ML frameworks such as scikit-learn, PyTorch, TensorFlow etc
  • Experience with one or more ML pipeline automation frameworks MLFlow, Kubeflow, etc
  • Deep experience with ML approaches : logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance
  • Masters or Bachelors degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. statistics, applied math, computer science, or a science field with direct statistics applications)
  • What's it like to work here :

    You will have an opportunity to work in an environment where engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software.

    Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff.

    Our team is talented, capable, and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.

    Key Responsibilities

    Design and implement product features and services that use machine learning to augment and simplify our customers' workflows

    Develop our internal toolset to support our machine learning systems and our own efficiency

    Monitor and optimize the quality and performance of our models, services, and tools

    Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform

    Write production-quality code to support our machine learning systems

    Build and operate pipelines for accessing and enriching data for machine learning

    Train, tune, and ship models

    Work with product managers and data scientists to translate product / business problems into tractable machine learning solutions

    Do you love where you work? WE do!

    Who is Sage?

    How we make a difference :

    Champion of Business Builders :

    Life at Sage :

    Our comprehensive total rewards program included :

  • Extended health, dental and vision coverage
  • On-going training and professional development
  • 21 days paid time off from the start
  • Paid 5 days to volunteer through our Sage Foundation
  • Matching Retirement contributions
  • And, so much more
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