Jobgether is hiring a Machine Learning (ML) Engineer to design, develop, and deploy advanced AI and ML systems that power enterprise-scale solutions. In this remote role, you will work on projects in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and large multimodal models, building production-ready pipelines from data curation to deployment.
What You'll Do
- Design, prototype, and implement AI and ML systems for enterprise applications.
- Train, evaluate, and deploy ML models, including NLP, RAG, AI agents, LLMs, and multimodal large models.
- Improve the quality, performance, and robustness of ML systems with features like self-supervised learning, multilinguality, agentic behavior, and hallucination reduction.
- Collaborate with cross-functional teams to integrate ML solutions into production workflows.
- Contribute to technical publications, patents, and knowledge sharing to advance the field of applied AI.
- Maintain production-grade ML pipelines, ensuring reliability, scalability, and explainability of deployed models.
What We're Looking For
- BS or MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
- 4–5+ years of professional experience in ML/AI engineering after degree completion.
- Strong software engineering skills, with experience writing production code.
- Hands-on experience training and deploying ML systems end-to-end.
- Proficiency with ML and data libraries such as PyTorch, Transformers, and Pandas.
- Knowledge of deep learning architectures and concepts, including Transformers, RAG, and mixture of experts (MoE).
- Ability to work effectively in cross-functional teams and communicate technical concepts to diverse audiences.
Nice to Have
- PhD in Computer Science or Engineering with research publications in venues such as ACL, NeurIPS, ICML, or ICLR.
- Experience in early-stage, high-growth environments and expertise in embeddings, reranking, vector databases, multimodal retrieval, reasoning, multilingual LLMs, and NLG evaluation.
Technical Stack
- PyTorch
- Transformers
- Pandas
Benefits & Compensation
- Competitive base salary and potential equity ownership.
- 100% paid medical, dental, and vision coverage from day one.
- Flexible Health Savings Account (HSA) or Flexible Spending Account (FSA).
- Generous paid time off, sick days, holidays, and company rest days.
- Professional development, training programs, and mentorship opportunities.
- Virtual team-building activities and company social events.
Work Mode
This is a fully remote position open to candidates based in the United States.
Jobgether is an equal opportunity employer.




