More jobs:
Applied scientist
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-02-19
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-02-19
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description
- 5+ years of building models for business application experience
- PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Practical experience with LLM pre-training or post-training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs
- Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI
- Experience using Unix/Linux
- Experience in professional software development
- Experience working on SOTA LLMs.
- Multiple first-author LLM-related publications in top-tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)
- 5+ years of experience building and deploying machine learning models or developing algorithms for business applications.
- A strong track record of publications at top-tier, peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ACL, KDD, CVPR).
- Proven ability to transition research to production-grade, scalable systems.
- Experience with Generative AI tools, Large Language Models (LLMs), Transformers, Reinforcement Learning, or advanced Computer Vision/NLP techniques.
- Expertise in Python, Java, or C++, as well as experience with distributed machine learning frameworks (e.g., Spark, Hadoop)
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. - Family Support:
Maternal & Parental Leaves. - Insurance Options:
Auto & Home Insurance, Identity Theft Protection. - Convenience & Professional Growth:
Commuter Benefits & Certification & Training Reimbursement. - Time Off:
Vacation, Time Off, Sick Leave & Holidays. - Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$150,000 a year
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