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Lead Research Engineer

Remote / Online - Candidates ideally in
Eagan, Dakota County, Minnesota, USA
Listing for: TRSS
Remote/Work from Home position
Listed on 2026-01-16
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 273000 USD Yearly USD 273000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Legal Technology and Information Services

Overview

Why consider this job opportunity:

  • Salary up to $273,000
  • Opportunity for career development and growth through continuous learning initiatives
  • Flexible work arrangements, including the ability to work from anywhere for up to 8 weeks per year
  • Comprehensive benefits package including mental health days, tuition reimbursement, and retirement savings plans
  • Award‑winning company culture emphasizing inclusion, work‑life balance, and social impact
  • Chance to make a real‑world impact by helping uphold justice and transparency
Responsibilities
  • Lead significant AI/ML projects from concept to deployment, designing and developing end‑to‑end solutions
  • Drive innovation by evaluating emerging technologies and proposing new approaches for scalable system development
  • Set and meet measurable goals for the team while breaking down business requirements into functional specifications
  • Collaborate and mentor across teams, sharing knowledge and promoting a team‑oriented environment
  • Write high‑quality code for complex software programs and actively lead agile ceremonies and SDLC processes
Qualifications
  • Bachelor's Degree in Computer Science, Related Field, or Equivalent Experience付
  • At least 7 years of software engineering experience
  • Minimum of 2 years building large‑scale data processing pipelines and distributed search/retrieval systems
  • Minimum of 2 years working on Deep Learning or LLM‑related products or solutions
  • Strong understanding of Python software development stacks and ecosystems
Preferred Qualifications
  • Experience integrating Deep Learning and LLM solutions into production‑grade software
  • Familiarity with Natural Language Processing (NLP) tasks such as Named Entity Recognition (NER) and Information Retrieval
  • Hands‑on experience with additional programming languages or scripting languages (Java, Rust, Scala, etc.)
  • Expertise with modern deep learning frameworks for distributed training
  • Experience grew with graph database technologies like Neo4j and Amazon Neptune

#Legal Tech #AI #Machine Learning #Career Growth #Work Life Balance  #Innovation

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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