What are the responsibilities and job description for the Lead Machine Learning Engineer position at Harnham?
Lead Machine Learning Engineer
AI & Cloud Optimization
New York City – Hybrid
$160,000 – $215,000 Equity & Benefits
We are working with a venture-backed AI startup redefining how companies manage their cloud costs in an era of explosive AI-driven growth. With billions spent annually on cloud infrastructure—often tracked with outdated tools—this company is building intelligent systems that bring clarity, automation, and financial control to cloud spend. Their platform is already trusted by industry leaders and built for scale across AWS, GCP, and Azure.
The Role:
This is a hands-on, senior-level position where you’ll drive AI product development from 0 to 1. As a Lead Machine Learning Engineer, you’ll partner closely with the CTO and founding team to design and implement LLM-powered features, forecasting models, and intelligent automation capabilities that directly impact customer outcomes.
Responsibilities include:
- Designing, deploying, and optimizing machine learning models for cloud spend forecasting, anomaly detection, and cost control
- Building and integrating LLMs to power Agent-style chat interfaces and automation tools
- Developing secure, scalable ML infrastructure across multiple cloud platforms
- Driving full-cycle ML projects—architecture, development, deployment, monitoring, and iteration
- Collaborating with product, engineering, and leadership teams to align AI development with business priorities
- Experimenting with new techniques in generative AI, model optimization, and real-time inference
Requirements:
We’re looking for a startup-minded ML engineer with strong technical depth and a bias toward action. You should have:
- 5 years of experience in machine learning, AI model development, and infrastructure deployment
- Fluency in Python, with experience in tools like PyTorch, Hugging Face, LangChain, and Terraform
- A proven ability to deploy ML models at scale across distributed cloud systems
- Experience working with LLMs and open-source models (e.g., Llama, Mistral, Falcon)
- An understanding of AI security best practices and a commitment to building responsibly
- Strong communication skills and the ability to convey complex ideas clearly and confidently
- Comfort in high-ambiguity, fast-paced environments where you’ll help define the roadmap
Benefits:
As a Machine Learning Engineer, you can expect:
$160,000 – $200,000 base salary
Equity in a high-growth company
Unlimited PTO and flexible work policy
This is a rare opportunity to shape the future of AI-enabled cloud infrastructure—building real systems, for real users, from day one.
Salary : $160,000 - $200,000
