Machine Learning Engineer

InAI Lab; New York (NY); Híbrido; USD 150.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity opportunities

Conference attendance

Flexible work arrangements

Descripción de la vacante

InAI Lab, located in NYC, seeks a senior AI researcher to lead the design, development, and deployment of scalable ML systems. You will drive production-grade solutions, optimize models for real-world use, and publish results at top venues.

You will translate research prototypes into production, collaborating closely with data engineers and product teams to achieve business goals while mentoring newer researchers. Immediate start available.

Formación

• MS/BS in Computer Science, Machine Learning, or related field with strong focus on software engineering and system design.
• 3+ years building and deploying production ML systems at scale with reliable, high-performance delivery.
• Strong understanding of ML algorithms, model training, optimization, deployment pipelines, and production monitoring.

Responsabilidades

• Design, develop, and deploy scalable machine learning systems powering real-world applications with high performance and reliability.
• Optimize ML models for production environments, improving inference speed and reducing resource consumption.
• Translate cutting-edge research prototypes into production-ready systems bridging research and deployment.
• Collaborate with research scientists, data engineers, and product teams to deliver end-to-end ML solutions meeting business objectives.

Conocimientos

Python

PyTorch

TensorFlow

Docker

Kubernetes

MLOps

Educación

MS/BS in CS/ML or related

Herramientas

AWS

GCP

Azure

Descripción del empleo

Lead groundbreaking AI research projects at InAI Lab. Drive innovation in machine learning and artificial intelligence, publish in top-tier conferences, and mentor the next generation of AI researchers.

Location NYC

Employment Type Full-Time

Experience Level Senior

Education MS/BS in CS

Start Date Immediate

Key Responsibilities

Build Production ML Systems

Design, develop, and deploy scalable machine learning systems that power real-world applications with high performance and reliability.

Optimize ML models for production environments, improving inference speed, reducing resource consumption, and maintaining accuracy.

Research Implementation

Translate cutting-edge research prototypes into production-ready systems, bridging the gap between research innovation and practical deployment.

Cross-Functional Collaboration

Work closely with research scientists, data engineers, and product teams to deliver end-to-end ML solutions that meet business objectives.

Requirements

Educational Background

MS/BS in Computer Science, Machine Learning, or related field with strong focus on software engineering and system design.

Production Experience

3+ years building and deploying production ML systems at scale, with proven track record of delivering reliable, high-performance solutions.

Strong understanding of ML algorithms, model training, optimization, deployment pipelines, and production monitoring systems.

Technical Stack

Expert in Python, PyTorch/TensorFlow, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), and MLOps best practices.

What We Offer

Work on groundbreaking research with access to state-of-the-art computing resources and support for conference attendance and publications.

Collaborative Environment

Join a world-class team of researchers and engineers in a supportive, innovative environment that values both individual and team achievements.

Competitive Package

Industry-leading compensation, comprehensive benefits, equity opportunities, and flexible work arrangements to support your career growth.

Ready to Lead AI Research?

Join InAI Lab and shape the future of artificial intelligence through groundbreaking research and innovation.