What are the responsibilities and job description for the Staff Machine Learning Engineer position at Harnham?
Staff Machine Learning Engineer
Salary: $200,000–$240,000 Equity Benefits
Location: 5 days a week Flatbush
About the Company
My client is a high-growth technology startup transforming the accounting industry with AI-driven solutions. Their platform is designed specifically for accounting firms, streamlining processes with unmatched efficiency. As they continue to scale, they are looking for a passionate individual to join their dynamic team and drive innovation forward. Series A Secured—Now It’s Time to Build! Ready to Join?
The Role
As a Staff Machine Learning Engineer, you will be responsible for maintaining the integrity and reliability of machine learning systems over time. You will play a key role in scaling models efficiently and ensuring data accuracy. With a strong focus on data pipelines, you will design, organize, and maintain multiple models that operate seamlessly in tandem.
Key Responsibilities:
- Ensure the ongoing reliability and scalability of machine learning systems.
- Develop, manage, and optimize data pipelines for accuracy and efficiency.
- Architect ML evaluation, experimentation, and monitoring systems.
- Leverage LLMs to automate optimization and retraining of pipelines.
Qualifications:
- Strong focus on data accuracy and model scalability.
- Proven experience in architecting, planning, and scaling ML solutions from inception to deployment.
- Expertise in MLOps and production-grade machine learning deployment.
- Exceptional communication skills, with the ability to explain complex ML concepts to non-technical stakeholders.
- Demonstrated technical leadership and mentorship experience in machine learning.
The Benefits:
- Competitive base salary of $200,000–$240,000 (dependent on experience)
- Equity package
- Comprehensive benefits
How to Apply
Please express your interest by submitting your resume to Cassie Wandell via the apply link on this page.
Keywords
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Data Pipelines | Model Deployment | Scalable Systems | Production ML | Financial Data
Salary : $200,000 - $240,000
