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Lead Research Engineer
Remote / Online - Candidates ideally in
Eagan, Dakota County, Minnesota, USA
Listed on 2026-01-16
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
Job Description & How to Apply Below
Employer Industry: Legal Technology and Information Services
OverviewWhy 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
- 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
- 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
- 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
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