Remote Machine Learning Engineer (Python/Golang/MLOps)

Top 3 reasons to join us

• Working with state-of-the-art technology everyday
• Full remote (The office is optional on Thursdays)
• 13th month salary bonus

Job description

Join Reforged Labs in Revolutionizing Marketing with AI for Gaming! 

About Us:

Reforged Labs is a Y Combinator-backed startup, recently raising $3.9M in Seed funding from DCM and angel investors who founded King, Sky Mavis and other gaming giants. While based in the US, we embrace a fully remote culture and are currently expanding our team in Vietnam.

We’re building an AI copilot to transform the full marketing cycle for games, empowering marketers to create and optimize ads in minutes with guaranteed success. Tech stack relevant to you would include Python and Golang. You will get to touch everything from LLMs and Vision Models to old school decision trees and clustering techniques!

Role Responsibilities:

• Develop, fine-tune, and deploy ML models.
• Prepare and process large datasets.
• Design and implement APIs for ML services.
• Deploy and monitor ML models (MLOps).
• Collaborate with engineering and product teams.
• Optimize codebase in Python and Golang.
• Anything that the startup world may throw at us!

Your skills and experience

• 3+ years of experience 
• Strong in Python and familiar with Golang or affinity to learn quickly. 
• Proven ML experience: model training & hyperparameter tuning. 
• Big data handling skills. 
• API design and implementation. 
• MLOps experience. 
• Excellent communicator, team player. 
• Moving fast. 
• Passion for gaming.

Why you'll love working here

• Innovate at the forefront of AI and gaming marketing.
• Join a dynamic, YC-backed team.
• Significant product impact.
• Competitive salary and benefits.
• Fully remote culture.
• 13th-month salary bonus provided to all staff members.
• Hybrid working and 1 day weekly office team work 
• English-speaking working environment.
• Product-oriented approach with an agile project management style, offering a dynamic work environment and the chance to gain expertise in the latest technologies.
• Regular gathering parties and team-building activities.
• Annual Performance Appraisal opportunities