Software Engineer - Post Training

About the Role 

This role involves contributions to all stages of the training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.

We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:

• Develop data collection, evaluation, and post-training methods for models. 
• Design hypotheses and experiment plans for rapidly iterating on model performance. 

• Bachelor's Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• OR equivalent experience.  
• Have experience with reward modeling, RL, or other post-training techniques.

• Demonstrated experience in large-scale AI.  
• Passionate about conversational AI and its deployment.  
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.   
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.   

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.