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← 6sense

Sr. Machine Learning Engineer

6sense
Location
San Francisco, California, United States
Posted
1 month ago
Department
Data Science and Analytics
Salary
$200,349.50 - $260,912.60
What they actually want (must-haves)
  • 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 the job really is

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
  • Generous health insurance coverage
  • Life and disability insurance
  • 401K employer matching program
  • Paid holidays
  • Self-care days
  • Paid time off (PTO)
Things to weigh
  • 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
Job score4.8/5
Benefits5/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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