Backend & Applied ML Engineer (Eagan, MN or Frisco, TX)

About the Role

The team is seeking a creative backend engineer to join the team behind CoCounsel. You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to attorneys all around the country. CoCounsel is already capable of writing legal research memos, summarizing and reviewing documents, and red-lining contracts, just to name a few capabilities--all in minutes, not days or weeks. And we're just getting started. As a Software Engineer, Backend and Applied ML, you will develop the systems that orchestrate our users’ interactions with LLMs, smaller ML models, and other critical services. Working closely with prompt engineers and other subject matter experts in the company, the systems you develop will unlock much of the value presented by LLMs. Our ideal candidate is a dependable backend engineer who is fluent in Python, HTTP APIs, and SQL who also has at least some experience working with and around machine learning systems.
 
As the Software Engineer, Backend & Applied ML, You Will...

Orchestrate LLM-driven experiences that delight our customers

Write Python API server code that handles requests from a front-end client

(or many front-end clients)

Develop novel LLM client code suitable for a high-volume production environment

Utilize the latest and greatest LLM models and services

Empower prompt engineers and other SMEs by developing intuitive prompting frameworks.

Write SQL queries and occasionally design schema

Participate in and contribute to high level architecture discussions within the Applied ML team and across other teams

About You 

At least three years of production level experience in software engineering on an engineering/product team, preferably at a startup.

Strong Python, HTTP API, and SQL skills are required.

Experience using large language models through code (such as model services from OpenAI, Anthropic, or Cohere; and/or open source models such as Llama and Mistral).

Experience with any stages in the ML development lifecycle (e.g. data labeling, data curation, data cleaning, model training, model evaluation, model serving, LLM prompting, etc)

Exhibits strong software engineering judgment.

Excellent analytical and problem-solving skills.

Ability to work both independently and in a collaborative environment.


What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:


Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Base salary and a variable compensation that is directly related to your success.

#LI-ES1

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.