Machine Learning Engineer

Open to Global Talent | Technology | Full-time | Fully remote

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As one of the largest, award-winning, and top-selling app vendors in the Atlassian Marketplace supporting over 20,000 customers around the world, we hire top talent who build with heart and succeed with others. 

At Tempo, we’re on a mission to help modern, forward-thinking product and engineering teams work better. Our integrated applications for time management, resource planning, and budget management provide unrivaled understanding of how time and effort are spent. But we’re not the time tracking of yesterday. Our innovations in automation and machine learning make logging time seamless for the highly skilled and creative people doing the work. With uninterrupted effort, team leads and executives gain deep insights into how time is being used in order to plan, manage, and deliver results. After all, time is a finite and precious resource, and the world’s top performing teams unlock the value of their time so that they consistently succeed.

 

Come join us as we continuously innovate our industry-leading products and expand to new ecosystems. We are looking for exceptional candidates who will bring their unique perspectives to our teams in Iceland, Canada, and the United States. 

 

About the position

We are looking for a highly capable machine learning engineer to help build and optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Responsibilities

  • Consulting with stakeholders to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze large volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.

Requirements

  • Bachelor's degree in computer science, data science, mathematics, or a related field.
  • At least 3 years experience as a machine learning engineer.
  • Advanced proficiency with Python and Java code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.

 

What's In It For You

  • Remote work!
  • Unlimited vacation in most of our locations!!
  • Great benefits plan including health, dental, vision and more
  • Great office spaces in Canada & Iceland
  • Diverse and dynamic teams
  • Challenging and exciting work
  • An opportunity to have a real impact on our business
  • Free breakfast and snacks
  • A great range of social activities
  • And so much more!!

 

  Note: As our hiring teams are global, please submit your resume in English only!

 

At Tempo Software, we are proud to be an equal opportunity employer and are committed to creating an inclusive culture. As such all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.