Applied Scientist, Pro Growth

Employer shown to signed-in membersNorth AmericaMid Level3+ years experienceMachine Learning Engineering

Who is hiring is shown to signed-in users. Create a free account to see the employer and apply.

The role

The company, a home services marketplace, is hiring an Applied Scientist for its Pro Growth team. The role builds models and experiments for acquiring and activating service professionals, from supply forecasting to LLM-powered onboarding agents.

What you will do

  • Drive applied science projects focused on pro acquisition, activation, retention and supply health
  • Build and deploy ML models for lead scoring, supply forecasting, onboarding, churn prediction and agentic onboarding
  • Design and run marketplace experiments to measure impact on supply and business metrics
  • Analyse structured and unstructured data such as marketplace interactions and pro profiles
  • Work with engineering, product, business development and marketing to run models in production
  • Help build the team's LLM-powered tooling and eval coverage

What they ask for

  • Master's degree in a quantitative field or equivalent industry experience
  • 3+ years as an applied scientist, data scientist or ML engineer owning production models
  • Applied science experience in a marketplace, supply chain or growth domain
  • Knowledge of classification, regression, embeddings and causal inference
  • Familiarity with LLMs and agentic AI development
  • Solid grounding in statistics, experimental design and optimization
  • Large-scale distributed systems experience such as Spark or Databricks
  • Python and SQL

This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.

Similar remote jobs

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer10d ago

    Staff Machine Learning Engineer

    AIMachine Learning EngineeringLead8+ yrs experience

    • Python
    • LLMs
    • NLP
    • Deep learning
    • Graph neural networks
    • +1
    Applicants: membersNorth AmericaUS

    USD 218,025–256,500 / year

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer11d ago

    AI/ LLM Developer

    AIMachine Learning EngineeringSenior5+ yrs experience

    • Government
    • LLMs
    • Python
    • AWS
    • Amazon Bedrock
    • +3
    Applicants: membersNorth AmericaUS

    USD 121,000–149,000 / year

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer11d ago

    Staff Machine Learning Engineer, Content Visual AI

    AIMachine Learning EngineeringLead7+ yrs experience

    • Machine learning
    • LLMs
    • Vision-language models
    • Multimodal learning
    • Recommender systems
    • +3
    Applicants: membersNorth AmericaUS

    USD 189,308–389,753 / year

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer13d ago

    Sr. Staff Software Engineer, AI Platform

    AIMachine Learning EngineeringLead5+ yrs experience

    • Python
    • GenAI evaluation
    • Distributed systems
    • Ragas
    • AutoEvals
    • +2
    Applicants: membersNorth AmericaUS

    USD 208,592–429,454 / year

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer17d ago

    Staff Machine Learning Engineer, Ads Creative Effectiveness

    AIMachine Learning EngineeringLead

    • Generative AI
    • LLMs
    • VLM fine-tuning
    • RLHF
    • LoRA
    • +3
    Applicants: membersNorth AmericaUS

    USD 230,000–322,000 / year

  • Likely 09:00–17:00 EDT (business hours where it hires)

    Sign up to see the employer18d ago

    Manager II, Machine Learning Engineering-Content Foundation

    AIMachine Learning EngineeringLead7+ yrs experience

    • LLMs
    • Vision-language models
    • Spark
    • Hadoop
    • Distributed training
    • +2
    Applicants: membersNorth AmericaUS

    USD 222,716–389,753 / year