Machine Learning Engineer

Machine Learning Engineer

• Title of Role: Machine Learning Engineer
• Location: New York, onsite
• Company Stage of Funding: Seed
• Office Type: Onsite
• Salary: $150K–$250K

Company Description

We're representing a cutting-edge firm specializing in AI detection technology. This company is at the forefront of innovation, leveraging advanced machine learning techniques to enhance security and educational tools. With a small, dynamic team, they are poised to make a significant impact in their industry.

What You Will Do

• Design and implement machine learning models using Python and Spark to solve complex problems.
• Develop and maintain data pipelines using Airflow to ensure efficient data processing.
• Utilize MLflow for model tracking and management, ensuring seamless deployment in production environments.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Optimize algorithms and workflows for performance and scalability on AWS and GCP platforms.
• Experiment with and implement state-of-the-art techniques in Transformers and LLMs to enhance product offerings.

Ideal Candidate Background

• 3–8 years of experience in machine learning engineering or related fields.
• Proficiency in Python and experience with data processing frameworks like Spark.
• Hands-on experience with MLOps tools such as MLflow and Weights & Biases.
• Familiarity with cloud platforms, specifically AWS and GCP.
• Strong understanding of CUDA for optimizing machine learning workflows.

Preferred

• Experience in AI, Edtech, or security industries.
• Knowledge of advanced machine learning techniques and architectures.
• Familiarity with data visualization tools and best practices.

Compensation and Benefits

The salary range for this position is $150K–$250K, complemented by competitive early-stage equity. This is an exciting opportunity to join a rapidly growing company and contribute to groundbreaking technology.