Machine Learning Engineer - Persana AI

Persana AI
San Francisco
Workplace: OnsiteFull timeUSD 100,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Python","NLP","Vector embeddings","Large language models","PyTorch","Hugging Face","Software engineering"]

Machine Learning Engineer to develop and optimize core ML systems powering GTM agents, focusing on embedding models, retrieval systems, and large language model applications. You’ll build production ML pipelines, evaluate agent performance, and collaborate with product/engineering to deploy ML innovations at scale in a fast-growing SaaS environment.

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FursaFursa
Persana AI
Persana AI
1 year ago

Machine Learning Engineer - Persana AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Machine Learning Engineer to develop and optimize core ML systems powering GTM agents, focusing on embedding models, retrieval systems, and large language model applications. You’ll build production ML pipelines, evaluate agent performance, and collaborate with product/engineering to deploy ML innovations at scale in a fast-growing SaaS environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and optimize core ML systems powering GTM agents, including embedding models and retrieval systems
  • •Build and maintain production ML pipelines capable of processing billions of data points
  • •Implement and refine fine-tuned language models for prospect qualification and outreach generation
  • •Create evaluation frameworks to measure and improve agent performance across multiple metrics
  • •Collaborate with product and engineering teams to bring ML innovations into production

Pay and Benefits

Salary: USD 100,000 - 250,000 annually

Key Requirements

  • •3+ years of professional experience in machine learning engineering
  • •Strong background in NLP, vector embeddings, and large language models
  • •Experience with PyTorch, Hugging Face, or similar ML frameworks
  • •Proficiency in Python and software engineering best practices
  • •Understanding of production ML systems and the challenges of deploying models at scale
Experience:3+ yearsSaaSB2BSales tech
Skills:PythonNLPVector embeddingsLarge language modelsPyTorchHugging FaceSoftware engineering
Languages:English
Tech Stack:PyTorchHugging FaceLangChainPythonPandasNumPyOpenSearchFAISSPineconeNode.jsBullMQAWSSageMakerLambdaECSDocker

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Persana AI
Builds an AI-powered talent intelligence platform to help recruiters source, enrich, and engage candidates more efficiently using machine learning to predict fit, automate outreach, and surface high-quality talent insights.
Industry: HR Tech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
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