or apply directly on Factored's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days Factored's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Factored's roles list one
- Ghost-job risk at Factored
- high 9 stale, 1 reposted of 16 open
- Hiring momentum
- 21 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Factored's own greenhouse board since 2026-08-03. Full hiring picture for Factored.
About this role
As a Senior Machine Learning Engineer at Factored, you will focus on designing, developing, and deploying Retrieval-Augmented Generation (RAG) models to solve complex problems for clients. Your role involves collaborating with client teams, optimizing model performance, and ensuring seamless integration of AI solutions in production environments. You will also write maintainable code and contribute to the development of frameworks for GenAI products.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Factored as an employer.
What you need
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- 5+ years of hands-on experience developing and deploying machine learning models in production environments
- 4+ years of experience with production NLP and deep learning models using frameworks like PyTorch and TensorFlow
- At least 1+ year of experience with Retrieval-Augmented Generation (RAG)
- Proven experience writing production-level code, with strong proficiency in Python
- Expertise in working with large language models (LLMs) such as GPT, Gemini, and Claude
What you get
- Ownership through equity participation
- Annual company retreat
- Education bonus for continuous learning
- Company-wide winter break
- Paid time off
- Optional in-person events and meetups
Worth weighing
- Fully remote position may require self-discipline and effective communication skills
- Focus on RAG models may limit exposure to other machine learning techniques
- High expectations for collaboration and technical leadership may require strong interpersonal skills
Summarised from Factored's posting. Read the full original.
Listed by Factored on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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