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Machine Learning Engineer

Machine Learning Engineer

Type of work
Employment Type
B2B, Permanent
Operating mode

Tech stack

    Machine Learning

Job description

Online interview
Friendly offer

Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?

About the Team

The Engineering team at Clari is an Agile shop that practices Scrum across all of our teams. We layer in coordination practices such as Big Room Planning to stay aligned with Clari’s KPIs quarterly across sites and teams. If you love working in an Agile environment that values collaboration and continuous improvement, then we can’t wait to meet you.

About the Role

We are looking for a talented Machine Learning Engineer who is passionate about solving complex problems and delivering products to our customers. You’ll be part of a new team of talented and driven colleagues on a diverse set of complex problems related to sales engagement. 

This team will develop data-driven and ML solutions to power our sales engagement platform (think email sequencing, AI-generated email responses, and next-best-action modeling). This will be done using some of the cutting-edge technologies we are using at Clari (Ray, LLMs, long-chain, …), plus whatever approaches + frameworks you decide on.

The products you build will be used by many of the most well-known companies in the world. 

This is a hybrid opportunity based in Kraków, Poland. Candidates must be based in Poland.


  • Research and develop new machine-learning algorithms and models
  • Implement and test machine learning models in production environments
  • Provide technical guidance and mentorship to junior engineers and data scientists
  • Participate in the development and implementation of best practices for machine learning engineering
  • Collaborate with data scientists and software engineers to integrate machine learning models into applications
  • Work closely with our product team to understand key customer problems and build software that solves those problems
  • Continuously monitor and improve the performance of machine learning models
  • Stay up-to-date with the latest developments in machine learning and artificial intelligence


  • Experience in developing and implementing machine learning models and algorithms in production environments
  • Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
  • Experience with distributed data processing frameworks such as Spark, Ray, etc
  • Ability to communicate technical findings based on complex quantitative analysis in a clear, precise, and actionable manner
  • Knowledge of analysis tools and packages such as NumPy and SciPy

Perks and Benefits@Clari

  • Team-bonding activities and company-wide events
  • Flexible working hours and remote opportunities
  • Annual Well-being and Professional Development Stipends
  • Private Healthcare and Multisport Pass
  • Paid maternity and paternity leave
  • Stock options