Machine Learning Engineer

Stealth Startup; New York (NY); On-site; USD 160,000 - 220,000; Full time

Job summary

An innovative tech company is seeking a Machine Learning Engineer to design, build, and deploy production-grade ML models. This role focuses on optimizing decision-making and automating processes using cutting-edge AI and machine learning technologies. You will tackle real-world challenges in sustainability, working on computer vision and predictive modeling to enhance operational efficiency. Join a dynamic team dedicated to creating scalable solutions that make a significant impact in the industry. If you are passionate about machine learning and want to contribute to meaningful projects, this opportunity is perfect for you.

Qualifications

• Strong experience with Python and modern ML frameworks.
• Expertise in data science and model optimization.

Responsibilities

• Develop and deploy machine learning models for AI-driven platform.
• Optimize data pipelines for large-scale datasets.

Skills

Python

TensorFlow

PyTorch

data science

feature engineering

model optimization

Tools

AWS

GCP

Job description

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This range is provided by Stealth Startup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $220,000.00/yr

Machine Learning Engineer – AI-Powered Sustainability Tech

About Us

We’re an innovative tech company on a mission to revolutionize sustainability using cutting-edge AI and machine learning. Our platform harnesses computer vision, data science, and predictive modeling to tackle real-world challenges in food waste management, operational efficiency, and resource optimization. With a strong engineering-first culture, we’re building scalable, AI-driven solutions that drive impact in a rapidly growing industry.

The Role

We’re looking for a Machine Learning Engineer to help design, build, and deploy production-grade ML models that optimize decision-making and automate key processes. You’ll work on real-world AI applications, leveraging deep learning, data pipelines, and scalable architectures to improve the accuracy and efficiency of our technology.

What You’ll Do

1. Develop and deploy machine learning models that enhance our AI-driven platform
2. Optimize data pipelines and model training workflows for large-scale datasets
3. Work on computer vision, anomaly detection, and predictive modeling challenges
4. Collaborate with software engineers, data scientists, and product teams to integrate ML solutions into production
5. Evaluate and implement state-of-the-art ML techniques to continuously improve system performance

What We’re Looking For

1. Strong experience with Python, TensorFlow, PyTorch, and modern ML frameworks
2. Expertise in data science, feature engineering, and model optimization
3. Experience with cloud-based ML deployment (AWS, GCP, or similar)
4. Ability to work end-to-end, from data ingestion to model deployment
5. Passion for building AI-driven solutions that have a real-world impact

This is an opportunity to work on high-impact AI projects in a fast-moving, mission-driven environment. If you’re passionate about machine learning, scalability, and solving meaningful problems, we’d love to chat!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries: Technology, Information and Internet