Applied Machine Learning Engineer (Member of Technical Staff)

Join our team as an Applied Machine Learning Engineer, where you will bridge the gap between cutting-edge AI research and real-world applications. In this hands-on engineering role, you will develop, fine-tune, and operationalize machine learning models that drive business value and enhance user experiences.

Responsibilities

• You will collaborate directly with the GTM team, build and present compelling proof of concepts, design and deploy AI-powered applications, contribute to the internal ML platform, integrate new machine learning models, optimize system performance, and work closely with partners.
• Collaborate with the GTM team to ensure smooth integration and successful deployment of ML solutions.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.

Requirements

• A strong background in software engineering, customer-facing roles, and machine learning is required.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams
• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Robust coding skills required, preferably with proficiency in Python
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success
• Master’s degree in Computer Science, Engineering, or a related technical field
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure

Preferred

• Experience working in a startup or fast-paced environment
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT)

Pay

USD 170,000 - 240,000