Job Description

Position: Machine Learning Scientist

Reports To: Chief of Data Science and AI

Location: Chicago, IL

Job Overview

As a machine learning scientist in our innovative and fast-paced team, you will be building machine learning models as well as designing and developing next generation AI applications that allow legal investigators and litigation professionals to filter millions of documents down to those most important to their case.

From your seat in our beautiful new office in downtown Chicago, you will have access to many teammates to help respond to clients timely. Our office is in the heart of the loop with very convenient access to all major public transportation lines. Please be aware that this is a hybrid role (4 days in office, 1 day work from home).

Responsibilities & Duties

Design and implement advancements in AI and GenAI-based modules.
Design and implement new AI and GenAI functionality.
Work with internal stakeholders on creating solutions tailored to the customer’s needs.
Work on scalability and performance of AI functionality.

Characteristics

Creativity and quick problem-solving abilities demonstrated in industry or academic projects.
Strong collaboration and team playing skills.
Oand time management skills to handle multiple competing demands.

Education & Experience

M.S. or Ph.D. in Computer Science, BS in Computer Science.
3-4 years of industry work experience.

Solid understanding of core ML concepts, algorithms, and evaluation metrics.
Understanding of Large Language Models fundamentals.
Hands-on experience with prompt engineering for specific tasks and domains. Skills in techniques like chain-of-thought prompting and in techniques to improve LLM performance and reduce hallucinations.
Experience with Retrieval-Augmented Generation (RAG).
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.

Experience with cloud services (AWS, Azure, GCP) for data storage, model training, and deployment.
Proficiency with Git and platforms like GitHub for code management.
Experience with Docker.
Understanding and implementation of continuous integration and continuous delivery practices.
Understanding of data structures, algorithms, object-oriented programming (OOP), and system design.

Benefits and Perks including but not limited to:

401k match program
Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
Group Term Life Insurance and Voluntary Life Insurance option
Paid holidays
Paid vacation, sick, and personal days
FSA dependent care benefit
Childbirth recovery and bonding leave policies
Short and long-term disability benefits
Access to onsite gym and recreational area at our Chicago office
Friendly, collaborative, in-office work environment with ample opportunity for professional development.

For Illinois-based roles, the budgeted annual salary range is $116,450 to $137,000. Compensation for this role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.

This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.

Hiring Policy

This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.

Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Reveal considers candidates with existing visas but does not sponsor new visa applications.

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