Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc).ML Experience: Strong background in building, training, and deploying machine learning models in production.Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks.Core Coding: Proficiency in Python, Scala, or Java.Preferred SkillsPhD in AI, Data Science, or a related technical discipline.Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment.Systems Domain: Strong understanding of computer architecture, distributed computing, cloud compute, database internals, or networking.Optimization: Experience with operations research, forecasting, markov decision processes, or other optimization algorithms for sequential decision making.Scale: Proven track record of optimizing large-scale distributed systems or cloud infrastructure via data-driven approaches.Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.Local Pay Range$166,000—$210,250 USD
