Applied Machine Learning Engineer

About the job

Responsibilities

• Collaborate with the GTM team to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling Proofs of Concept (PoCs) demonstrating AI capabilities.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform by adding features and resolving issues.
• Integrate and enable new machine learning models into the platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work with partners to enable joint AI solutions and ensure seamless collaboration.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, preferably customer-facing.
• Robust coding skills, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills.
• Ability to thrive in dynamic, cross-functional teams.
• Master’s degree in Computer Science, Engineering, or a related technical field (preferred).
• Experience working in a startup or fast-paced environment (preferred).
• Hands-on experience fine-tuning machine learning models, including SFT and RLHF/RFT (preferred).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure (preferred).

Benefits

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure.
• Build What’s Next: Work with bleeding-edge technology.
• Ownership & Impact: Join a fast-growing team where your work directly shapes the future of AI.
• Learn from the Best: Collaborate with world-class engineers and AI researchers.