ML Engineer

ML Engineer

Category: Software Development

Location: Bucharest, Romania

Referral Reward: € 1,000 - € 2,000

Employment Type: Employment contract

Time Allocation: Full Time

Workplace Type: Hybrid

Remaining positions: 2

Who is this role for

You will craft custom ML-based solutions, focused on NLP and text processing, then fit them on TBs of data. You will work with cutting-edge architectures and techniques, then deploy your models in a massively parallel Big Data environment. You will b... Read More

What we expect from you in return:

  • High speed and uncompromising quality in your work.
  • A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities.
  • An appetite to grapple with a variety of technical challenges.
  • The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios.
  • Consistent performance over time coordinated with a matching set of values.
  • Strong problem-solving skills that enhance the way you deal with the tension between brief and shipping.
  • Aversion to the idea of any customer or colleague struggling with what you delivered.
  • High tolerance for ambiguity, marked by your ambition to push forward with incomplete information.
  • Resilience, especially in front of failure, that is always paired with pioneering work.

Responsibilities:

  • Develop new, novel algorithms and techniques for extracting and analyzing (very!) large and complex sets of data
  • Gather and build appropriate training datasets to create and improve models.
  • Train and evaluate your model in a massive parallel environment.
  • Own your ML models end-to-end, from collecting training data to deployment and monitoring in production.
  • Optimize your ML solutions for the production environment.
  • Improve NER extraction and text classification algorithms.
  • Perform statistical analysis of the real-world results of your models.
  • Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often.
  • Write well-designed, testable, efficient code.
  • Identify areas of opportunity and improvement.

Your qualifications:

  • Previous experience improving datasets through heuristics, training and optimally deploying your models.
  • Proficiency with Python, as well as MySQL or any relational database.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Knowledge of advanced math and statistical concepts and techniques.
  • Previous experience with an NLP framework (Transformers, SpaCy) and ML framework (PyTorch, Sklearn, Tensorflow) would be a plus.

What's in it for you:

  • Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onward.
  • The chance to shape an original product in a fast-growing company, backed by VC investors.
  • A merit-based, no BS, value-oriented, and particularly collaborative work environment.
  • Fair compensation, the possibility of ESOP, and upward salary growth based on performance.
  • Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are.
  • The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for — the best use of your skills and abilities.
  • The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them.