Senior Research Engineer (Foundational Research, Machine Learning)

TRSS; Ann Arbor (MI); Hybrid; USD 80,000 - 120,000; Full time

Job summary

An innovative firm seeks a talented engineer to join their dynamic team in AI research. This role offers a flexible hybrid work model and comprehensive benefits, including mental health days and continuous learning opportunities. You will have the chance to work with large datasets and contribute to impactful projects in machine learning and natural language processing. The inclusive culture values diversity and social impact, making it an exciting environment for passionate individuals. If you're ready to drive AI innovation and collaborate with experts, this opportunity is perfect for you.

Benefits

Flexible Vacation

Mental Health Days

Work-from-Anywhere Options

Continuous Learning Resources

Qualifications

• Experience in building high-quality software frameworks in engineering.
• Strong programming and debugging skills for effective system design.

Responsibilities

• Develop ML/NLP/IR/GenAI approaches to tackle real-world challenges.
• Collaborate with a global team on AI model development and research.

Skills

Machine Learning

Natural Language Processing

Information Retrieval

Programming

Debugging

System Design

Cloud Tools

Communication Skills

Education

Relevant Degree in Technical Discipline

Tools

Amazon AWS

Microsoft Azure

Google Cloud

Job description

Employer Industry: Information Services and Technology

Why consider this job opportunity:
- Flexible hybrid work model (2-3 days a week in the office)
- Comprehensive benefits including flexible vacation, mental health days, and work-from-anywhere options
- Access to continuous learning and development resources, including LinkedIn Learning
- Opportunity to work with large datasets and contribute to impactful AI research
- Inclusive culture that values diversity, equality, and social impact initiatives

What to Expect (Job Responsibilities):
- Innovate and develop new ML/NLP/IR/GenAI approaches to solve real-world challenges
- Participate in the complete research and model development lifecycle, from brainstorming to delivery
- Collaborate with a global team of engineers and scientists to drive AI model development
- Contribute to research publications and proprietary AI model research
- Utilize cloud tools and manage uncertainty in a fast-paced, agile environment

What is Required (Qualifications):
- Relevant degree in a technical discipline
- Work experience in a challenging engineering setting, building high-quality software frameworks
- Excellent programming, debugging, and system design skills
- Strong communication skills for reporting and presenting findings
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud

How to Stand Out (Preferred Qualifications):
- Contributions to publications at notable conferences such as NeurIPS, ICML, or EMNLP
- Experience with large language model (LLM) research and scalable data pipeline systems
- Previous work on large-scale machine learning systems
- Strong software and infrastructure engineering skills evidenced by code contributions to open-source libraries

#InformationServices #MachineLearning #AIResearch #CareerOpportunity #DiversityAndInclusion

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