Machine Learning Engineer

About Us

AristanderAI is changing the way price optimization works across the airline and short-term rental industries.  We use machine learning to more accurately predict demand and adjust prices accordingly.  Not familiar with price optimization? That’s okay, we’re looking for hungry + foolish engineers with strong ML fundamentals.  If the idea of taking any process and improving it through the use of machine learning thrills you, you’ll fit right in.

Responsibilities

As a machine learning engineer at Aristander, you will:

• Build cutting-edge, real-time models that push the SoTA forward for price optimization
• Manage 10s to 100s of millions of dollars in revenue – your models will have direct consequences for our clients
• Create and implement ways to validate model performance (e.g. how can you show that your model is better than a human when there is a finite resource?)
• Code with confidence, collaborating with the team to create and maintain continuous builds, tests, debugging tools and a constructive code-review process.

Qualifications 

You will thrive in this role if you:

• Have prior experience working with Python, xgboost and PyTorch, or similar machine learning libraries.
• Understand machine learning fundamentals at a deep level
• Are familiar with gaussian processes or Bayesian statistics
• Value autonomy and taking ownership of a project
• Have experience designing, implementing, and deploying scalable data-driven systems.
• Are constantly thinking about how to make something better and enjoy real-world feedback on your job performance
• You’re really good at Street Fighter II
• Bonus points if you have experience with full stack engineering

Benefits

• We offer a competitive salary.
• We offer flexible work hours: from home or at our well equipped office at the heart of Prenzlauer Berg

Apply by sending us your resume, your score from our game at https://jobs.aristander.ai, and how you would beat it with ML.