Senior Applied ML Scientist — Real-World Impact AI

Zest for Tech; Baltimore (MD); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Full health coverage

Generous PTO

Job summary

A startup focused on AI solutions in Baltimore, MD is seeking a Mid-Senior level professional to build and evaluate machine learning models that drive social impact. The ideal candidate will have a strong background in data science, experience with Python and modern ML frameworks, and a detail-oriented approach to experimentation. This full-time position offers a salary range of $150,000–$200,000 with comprehensive health coverage and generous PTO, requiring 2-3 days a week in the Washington DC office.

Qualifications

• Strong experience in data science or applied machine learning.
• Hands on experience training, fine tuning, and validating ML models.
• Comfort working with Python and modern ML frameworks.
• A rigorous and detail oriented approach to experimentation and evaluation.
• Motivation to work on problems with clear real world and social impact.

Responsibilities

• Build, train, and evaluate machine learning models for real world use cases.
• Apply AI techniques to production systems.
• Experiment with and adapt models from open source and vendor ecosystems.
• Partner with engineering and product teams to deploy and iterate on models.
• Improve automation and drive measurable system improvements.

Skills

Data science

Applied machine learning

Python

ML frameworks

Automation

Tools

PyTorch

ML tooling

Modern data infrastructure

Job description

A startup focused on AI solutions in Baltimore, MD is seeking a Mid-Senior level professional to build and evaluate machine learning models that drive social impact. The ideal candidate will have a strong background in data science, experience with Python and modern ML frameworks, and a detail-oriented approach to experimentation. This full-time position offers a salary range of $150,000–$200,000 with comprehensive health coverage and generous PTO, requiring 2-3 days a week in the Washington DC office.