Software Engineer, Post Training
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Develop data collection, evaluation, and post-training methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
