Senior Machine Learning Engineer- Data Automation 1077 views

As part of their team, you will lead the research on cutting-edge ML/NLP techniques and design efforts for the most efficient and practical application of those techniques to complex business problems. You will utilize our automated ML suite, equipped with annotation platforms, for collecting training data and hyper-tuning models, as well as deploy your application on their scalable ETL infrastructure. If the idea of applying technology and information retrieval techniques to solve complex data problems excites you, keep reading.

In the upcoming year, you should expect to work on the following:

• • Replace their traditional Seq2Seq and BiLSTM annotation models with modern BERT/ELMO language models

• • Employ weakly supervised learning approaches for understanding structural associations embedded in various document layouts

• • Apply advanced NLP techniques for multi-entity disambiguation and reinforcement learning to replace heuristic-based decision tree

You will also collaborate closely with financial domain experts to gain valuable insights and leverage their business expertise to increase accuracy in annotating training data. A right combination of cross-field ML techniques, deep understanding of the business problem and high-quality training data is fundamental to their models beating the precision of most academic and industry standards and presents a challenging opportunity! If this sounds like a challenge you are up for, please apply below.

They’ll trust you to:

• • Learn cutting-edge research in advanced ML & NLP topics and devise an efficient application for projects

• • Direct ML strategy for the team and work closely with the ML platform team, ETL infrastructure team as well as guide truth-gathering efforts

• • Drive, design & develop projects as the principal point-of-contact, with the ability to determine suitable ML models, direct feature engineering processes and negotiate KPIs per business needs

• • Participate in technical conferences, publish papers and evaluate new technologies

You’ll need to have:

• • A strong statistical background in ML, NLP, deep learning models along with familiarity in probabilistic information retrieval and optimization methods

• • Professional experience of building and deploying ML apps to production

• • 2+ years of hands-on experience in Python/C/C++ development and knowledge of distributed, scalable architectures and CICD tooling

• • A solid understanding of data structures, algorithms, and software design concepts

• • Strong communication skills and interest in learning financial product domains

• • BA, BS, MS, Ph.D. in Computer Science, Data Science or related technology field

They’d love to see:

• • Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, and active learning

• • Familiarity with SQL and NoSQL data modeling and exploratory data visualization

• • Professional experience as a technology lead or architect

• • Authored research publications, participation in ML competitions, working demos/repos

Bloomberg is an equal opportunity employer, and they value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.