ML Engineer

Windmill; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading tech company in New York is seeking a Machine Learning Specialist to design and deploy scalable machine learning models. The role requires expertise in algorithm optimization and collaboration with cross-functional teams to solve complex challenges. Ideal candidates should be willing to work on-site in New York, ensuring effective teamwork and innovation in the AI space. This position focuses on continuous learning and applying the latest techniques in machine learning and data science.

Qualifications

• Experience in designing, building, and deploying scalable machine learning models.
• Ability to optimize machine learning algorithms for accuracy and efficiency.
• Experience in collaborating with cross-functional teams.

Responsibilities

• Design, build, and deploy scalable machine learning models.
• Optimize machine learning algorithms for real-time performance.
• Collaborate with data scientists and engineers on product challenges.
• Maintain robust machine learning pipelines and data infrastructure.
• Stay current with research to implement advanced techniques.

Skills

Model Development & Deployment

Algorithm Optimization

Cross-Functional Collaboration

Scalable Infrastructure

Continuous Learning & Innovation

Job description

Come join us as an ML to help bring AI Superpowers to Managers.

We're looking for candidates with experience in:

1. Model Development & Deployment: Design, build, and deploy scalable machine learning models to enhance product features, optimize performance, and drive intelligent automation.

2. Algorithm Optimization: Fine-tune and optimize machine learning algorithms to improve accuracy, efficiency, and real-time performance within the product environment.

3. Cross-Functional Collaboration: Work closely with data scientists, software engineers, and founders to integrate machine learning solutions that solve complex product challenges for our users.

4. Scalable Infrastructure: Develop and maintain robust machine learning pipelines and data infrastructure, ensuring the models can efficiently handle large-scale data processing and deployment needs.

5. Continuous Learning & Innovation: Stay up-to-date with the latest research in machine learning, artificial intelligence, and data science to identify opportunities for applying cutting‑edge techniques that drive product innovation.

Note: We're a New York based company, and want our team working together in the office. If you're not interested in considering relocation to New York, this may not be the right opportunity.