ML Engineer
HR POD - Hiring Talent Globally
full-time
Posted on:
Location Type: Remote
Location: Remote • District of Columbia, Washington • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Pandas
About the role
- Design, prototype, research, and build AI systems for the Company.
- Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs).
- Improve the quality of the Company's RAG-as-a-service platform, including areas such as multilinguality, self-supervised learning, agentic behavior, and hallucination reduction.
- Publish technical blogs, research papers, and patents.
Requirements
- BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
- 4+ years of experience after BS/MS.
- Strong software engineering fundamentals role involves research as well as writing production-grade code.
- Knowledge of common challenges in training machine learning models and best-practice solutions.
- Familiarity with deep learning concepts such as Transformers, Retrieval-Augmented Generation (RAG), and Mixture of Experts (MoE).
- Proficiency in data/ML libraries such as pandas, transformers, and torch.
- Hands-on experience training ML systems end-to-end, from data curation to evaluation and deployment.
- Ability to collaborate effectively with cross-functional teams.
- PhD in Computer Science/Engineering with 1+ years of industry experience (preferred).
- Publications in top-tier venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR as a key author.
- Experience working as an ML engineer in an early-stage, high-growth environment.
- Expertise includes embedding models, rerankers, multimodal retrieval, question answering, reasoning, vector databases, and BM25.
- Skilled in planning and reasoning in LLMs, multilinguality in LLMs, and NLG evaluation, including hallucination detection.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Natural Language ProcessingMachine LearningDeep LearningTransformersRetrieval-Augmented GenerationMixture of ExpertsData CurationModel EvaluationModel DeploymentEmbedding Models
Soft skills
CollaborationResearchWriting Production-Grade CodeProblem SolvingCommunication
Certifications
BS in Computer ScienceMS in Computer SciencePhD in Computer Science/Engineering