Bloomberg Law is changing the legal industry by providing the most sophisticated research platform on the market, with a focus on automation, analytics and real-time answers. Our goal is to become an essential tool for legal professionals by providing solutions that support their daily work and allow them to get answers in real time and better serve their clients.
Within Bloomberg Law (BLAW), the BLAW Machine Learning team uses natural language processing (NLP), information extraction (IE), and machine learning (ML) to build breakthrough, data-driven, customer-facing products. A central machine learning engineering team working on technology. ) Techniques such as named entity disambiguation, text classification, clustering and topic modeling, text summarization, and personalized recommendations. Our current focus is on legal research and contract writing tools designed to speed up legal professionals’ work by letting AI do the heavy lifting. These tools allow users to upload documents, automatically classify them, structure their content, and analyze the text by identifying topics, extracting entities, and suggesting other relevant documents. Specific problems we are working on this year include summarizing legal content, extracting case results from court documents, or data mined from legal contracts. To solve these, we use both traditional methods and techniques such as attention-based deep neural networks and deep language models. We use agile development and work closely with product managers, software engineers, and legal experts.
Machine learning projects generally involve inherent uncertainty, so our team is best suited for individuals who are self-motivated, proactive, and comfortable with uncertainty and ambiguity in task definitions. is. We are a very collaborative team both internally and among other teams, so being teammates and being able to communicate effectively is important to our success.
merit:
As part of our team, you will develop machine learning (ML) models tailored to business needs. You will drive, design, and develop machine learning solutions. The right combination of cross-field ML techniques, a deep understanding of the business problem, and high-quality training data is the basis for a model that produces high-quality models tailored to the needs of our clients. Collaborate with product managers and legal experts to understand business problems and map them to ML problems. Research breakthrough ML/NLP techniques and apply them to business problems. Gain valuable insights by collaborating with legal domain experts and leverage their legal expertise to obtain high-quality annotated training data. You will work closely with product owners, legal data analysts (our domain experts), data engineers, and front-end engineers to build and integrate ML solutions into our products.
Legal AI is a rapidly evolving and exciting field. If you’re interested in working with a highly collaborative team to develop innovative solutions and make a big impact, we encourage you to apply.
We trust you to:
- Drive, design, and develop ML projects as the primary point of contact
- Work with domain experts and product managers to understand business needs and map business problems to ML problems.
- Learn groundbreaking research on advanced ML and NLP topics and design ML/AI solutions to your problems.
- Develop ML/AI predictive models tailored to your legal domain
- Use metrics to make data-driven decisions
- Write and maintain production-quality code
- Collaborate with AI platform engineers to maintain and roll out models
- Manage stakeholder expectations throughout the project regarding model development and release
You will need:
- 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 analysis of large data sets.
- Advanced degree in computer science, engineering, mathematics, or similar field of study, or equivalent work experience.
- Experience in all stages of the machine learning application lifecycle, from problem mapping and scoping to data collection and preparation to optimizing model performance.
- Experience with modern deep learning frameworks such as PyTorch and TensorFlow.
- Master’s or PhD degree in computer science, engineering, mathematics, similar field of study or equivalent work experience
Please take a look:
- Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, and active learning.
- Writing research publications, participating in ML contests, working demos/repositories
- Experience with distributed computing frameworks (YARN, Spark, Hadoop, Kubernetes, Docker)
- Anyone with a passion for learning more about the legal field (no prior legal experience required).
Bloomberg is an equal opportunity employer and values diversity within our company. We are aware of our age, ancestry, skin color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, gender, sexual orientation, We do not discriminate based on sexual or other reproductive health decisions. , parental or caregiving status, physical or mental disability, pregnancy or maternity/parental leave, status as a protected veteran, status as a victim of domestic violence, or any other classification protected by applicable law. .
Bloomberg is a disability-inclusive employer. Please let us know if you require any reasonable adjustments to the recruitment process. If you would like to discuss this matter privately, please email amer_recruit@bloomberg.net.
Salary range: $165,000 – $260,000 per year + benefits + bonus
Salary ranges referenced are based on our good faith belief at the time of publication. Actual compensation may vary based on factors such as geographic location, employment history, market conditions, education/training, and skill level.
We offer one of the most comprehensive and generous benefits plans available, offering a wide range of total compensation including merit increases and incentive compensation. [Exempt roles only], paid time off, paid time off, medical, dental, vision, short-term and long-term disability benefits, 401(k) +match, life insurance, and a variety of wellness programs. We do not provide benefits directly to temporary workers/contractors and interns.
