Senior Machine Learning Engineer - Data Automation

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New York, NY

Posted Mar 15, 2023 - Requisition No. 114815

On the Data Automation team, we develop machine learning models and infrastructure to extract key information from all kinds of financial documents such as analyst recommendations, corporate/municipal bond offerings, earnings releases. Our team has built some of the world's most sophisticated neural networks that have beaten the performance of even the best analysts in the market – often demanding 99.9% precision. The models we build enable our clients to get accurate answers fast. The work we do is crucial , as a single prediction error can have a market moving effect.

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

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

  • Replace our traditional 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 with financial domain specialists to gain valuable insights and use 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 our models beating the precision of most academic and industry standards and presents an excellent opportunity! If this sounds like a challenge you are up for, please apply below.

We'll trust you to:

  • Learn innovative 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 critical metrics per business needs
  • Participate in technical conferences, publish papers and evaluate new technologies

You’ll need to have:

  • 4+ years of experience with an object-oriented programming language such as Java or Python 
  • Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets
  • Professional experience of building and deploying ML apps to production
  • Strong communication skills and interest in learning financial product domains
  • A solid understanding of data structures, algorithms and software design concepts
  • Master’s or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience 

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

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

Salary Range: 165,000 - 260,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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