Senior Machine Learning Engineer

This role is based in Mountain View, California, with a work site of 4 days per week in-office.

Compensation:

USD $119,800 - $234,700 per year

Responsibilities:

• Design, train, evaluate, and deploy machine learning models for natural language understanding tasks.
• Architect scalable, production-grade training and inference pipelines using Spark, Databricks, and Azure ML.
• Develop and fine-tune transformer-based models and maintain embedding pipelines.
• Conduct rigorous offline and online experimentation to improve model quality.
• Collaborate with data engineers and product teams to align model outputs with product goals.
• Monitor model performance in production and address scalability challenges.
• Mentor others on ML best practices.

Qualifications:

• Bachelor's Degree in a relevant field with 4+ years of experience, or a Master's Degree with 3+ years, or a Doctorate with 1+ year of experience.
• Proven experience in NLP and modern transformer architectures.
• Proficiency in Python and ML frameworks like PyTorch.
• Experience with data platforms such as Spark and building end-to-end ML pipelines.