Machine Learning (ML) Engineer

Who is this role for?

You will craft custom ML-based solutions, focused on NLP and text processing, then fit them on terabytes of data. You will work with cutting-edge architectures and techniques, then deploy your models in a massively parallel Big Data environment. You will be required to make domain-specific, data-oriented decisions, based on a vast and complete world-view. We understand perfecting skills such as Apache Spark, Apache Cassandra, HDFS, and other Big Data tools is not easy, so we only expect persistence and a proactive interest in learning them, since they are definite musts for you to succeed in this role.

About Our Company

We’re an early-stage VC-backed start-up that has raised $9M to date from VC funds and private investors. Founded in 2019 by Florin Tufan, Mihai Vinaga, and Sorina Vlasceanu, we're currently a team of 40+ driven individuals, mostly engineers and technical people, investing our time to solve problems that haven’t been solved before anywhere in the world. Even as a young company, at the beginning of our exponential growth, we already work with some of the largest companies in the world. We bring together exceptional minds and characters, people with a growth mindset, strongly committed to achieving high performance, both individually and as a team.

Responsibilities

• Develop new, novel algorithms and techniques for extracting and analyzing large and complex data sets.
• 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, and efficient code.
• Identify areas of opportunity and improvement.
  
  

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 onwards.
• The chance to shape an original product in a fast-growing company, backed by VC investors.
• A merit-based, 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.
  
  

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 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 trade-offs 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.
  
  

Skills: python,machine learning,ml frameworks,sklearn,natural language processing,apache spark,learning,mysql,models,pytorch,spacy,apache cassandra,transformers,big data,tensorflow,hdfs