or apply directly on 6sense's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 23 days 6sense's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- No 72% of 6sense's roles list one
- Ghost-job risk at 6sense
- high 14 stale, 1 reposted of 29 open
- Hiring momentum
- 54 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 6sense's own greenhouse board since 2026-08-03. Full hiring picture for 6sense.
About this role
As a Sr. Machine Learning Engineer at 6sense, you will work on building and deploying machine learning models that provide explainable insights from vast amounts of data. This role involves end-to-end ownership of machine learning problems, collaborating with product teams, and improving the performance of production ML systems. You will also mentor other engineers and communicate your work effectively to both technical and non-technical audiences.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- 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 6sense as an employer.
What you need
- 6+ years of industry experience building and deploying machine learning systems in production
- Strong foundation in machine learning and applied statistics
- Hands-on depth in NLP, transformers, embeddings, and retrieval-based systems
- Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock
- Strong Python skills and experience building distributed ML pipelines on cloud infrastructure (AWS, Databricks, or equivalent)
- Solid grasp of feature engineering, model evaluation, and MLOps practices
Nice to have
- Experience with RAG architectures, vector databases, and prompt engineering
- Hands-on work with PyTorch or TensorFlow
- Background in B2B SaaS, enterprise AI products, or forward-deployed engineering
What you get
- Health coverage
- Paid parental leave
- Generous paid time-off and holidays
- Quarterly self-care days off
- Stock options
- Access to LinkedIn Learning platform
Worth weighing
- No salary listed
- Focus on building and shipping rather than research
- Role involves mentoring, which may require additional interpersonal skills
Summarised from 6sense's posting. Read the full original.
Listed by 6sense on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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