HHiring Reality
← EarnIn

Machine Learning Engineer

EarnIn
Location
Mountain View, US
Posted
12 days ago
Department
Engineering
Salary
$187,000–$229,000
What they actually want (must-haves)
  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent experience
  • 2+ years of industry experience building and shipping ML systems
  • Strong Python and hands-on experience with PyTorch and the standard ML stack (NumPy, pandas, scikit-learn)
  • Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow
  • Solid grounding in ML fundamentals: model architecture choices, training dynamics, regularization, and how to diagnose a model that isn't learning
  • Experience with large-scale data processing (Spark, Databricks, or similar) and feature engineering on production data
Nice to have
  • Experience with LLM fine-tuning using frameworks such as Unsloth, Axolotl, LLaMA-Factory, or HuggingFace PEFT/TRL, including parameter-efficient methods (LoRA/QLoRA)
  • Experience with distributed training or representation learning
  • Familiarity with MLOps tooling for experiment tracking, feature stores, or model registries (MLflow, Weights & Biases, Feast)
  • Familiarity with vector stores (e.g., Weaviate, Pinecone, Qdrant)
  • Knowledge of OpenTelemetry or similar observability frameworks
What the job really is

As a Machine Learning Engineer at EarnIn, you will be responsible for developing, training, and deploying machine learning models that enhance user-facing financial products. Your role involves building data pipelines, designing evaluation metrics, taking models to production, and collaborating with cross-functional teams to create intelligent AI features. You will also work with large-scale financial data and fine-tune large language models for internal applications.

Benefits
  • Base salary range of $187,000–$229,000
  • Equity
  • Benefits
Things to weigh
  • Hybrid position requiring in-office work 2 days a week
  • Salary range provided but no specific benefits detailed beyond equity and general benefits
  • The role involves working with large-scale financial data which may require strong data handling skills
Job score4.2/5
Benefits2/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency5/5

Applying to EarnIn?

See how your résumé matches this role — and tailor it from what actually gets interviews.

Calculate resume scoreGenerate resume to apply
Job Link →