Senior Machine Learning Engineer

Salt; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

A tech startup in New York is seeking a Senior Founding AI/ML Engineer to build and scale production-grade machine learning systems from the ground up. You will have full ownership across the ML lifecycle and influence technical direction in an early-stage environment. The ideal candidate should have over 8 years of experience in machine learning or AI, a strong foundation in ML algorithms, and proficiency in Python. This position offers a unique opportunity to contribute significantly to the company's success.

Qualifications

• 8+ years of experience in machine learning, AI, or software engineering.
• Strong foundation in ML/DL algorithms, statistics, and data processing.
• Hands-on experience with LLMs, transformers, or foundation models.
• Proficiency in Python, cloud infrastructure, APIs, and containerized environments.
• Familiarity with ML pipelines and tooling.
• Startup mindset: ownership, bias for action, comfort with ambiguity.

Responsibilities

• Design, train, evaluate, and deploy scalable ML and LLM-based systems in production.
• Own end-to-end ML workflows including data pipelines, experimentation, and monitoring.
• Apply modern techniques across deep learning, generative AI, and foundation models.
• Build and maintain MLOps infrastructure for reproducibility, deployment, and reliability.
• Collaborate closely with product and engineering to translate goals into ML solutions.

Skills

Machine Learning

AI

Python

Data Processing

MLOps

Deep Learning

Education

Degree in Computer Science

Degree in Machine Learning

Degree in Mathematics

Tools

Airflow

MLflow

Job description

We’re seeking a senior Founding AI/ML Engineer to build and scale production-grade machine learning systems from the ground up. This role offers full ownership across the ML lifecycle and meaningful influence on technical direction in an early-stage environment.

Responsibilities

• Design, train, evaluate, and deploy scalable ML and LLM-based systems in production
• Own end-to-end ML workflows including data pipelines, experimentation, and monitoring
• Apply modern techniques across deep learning, generative AI, and foundation models
• Build and maintain MLOps infrastructure for reproducibility, deployment, and reliability
• Collaborate closely with product and engineering to translate goals into ML solutions

Qualifications

• 8+ years of experience in machine learning, AI, or software engineering
• Strong foundation in ML/DL algorithms, statistics, and data processing
• Hands-on experience with LLMs, transformers, or foundation models
• Proficiency in Python, cloud infrastructure, APIs, and containerized environments
• Familiarity with ML pipelines and tooling (Airflow, MLflow, or equivalent)
• Degree in Computer Science, Machine Learning, Mathematics, or related field
• Advanced degree (MS/PhD) in a relevant field is a plus
• Startup mindset: ownership, bias for action, comfort with ambiguity