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