Sr. Machine Learning Engineer
6sense · San Francisco, California, United States
Posted 27 days ago · $200,349.50 - $260,912.60
or apply directly on 6sense's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days 6sense's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- Yes 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 Senior Machine Learning Engineer at 6sense, you will be responsible for building and deploying machine learning models that explain the significance of various signals in the context of customer engagement. This role involves end-to-end ownership of machine learning problems, including data exploration, modeling, deployment, and monitoring. You will collaborate with product teams to develop AI products that have a direct impact on customers, while also mentoring other engineers and improving the performance of production ML systems.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
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
- 8+ years of industry experience building and deploying machine learning systems in production, with clear end-to-end ownership
- Strong foundation in machine learning and applied statistics, with 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
- A product mindset — you want to build AI products customers use, and you measure yourself on customer impact
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 — especially where you worked directly with complex customer data and delivered quickly
What you get
- Generous health insurance coverage
- Life and disability insurance
- 401K employer matching program
- Paid holidays
- Self-care days
- Paid time off (PTO)
Worth weighing
- Base salary range provided, but actual salaries may vary based on location and experience
- Role emphasizes building and shipping rather than research, which may not suit all candidates
- Team is distributed across the US and India, which may impact collaboration dynamics
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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