シニア応用MLエンジニア - ML4Sys
年収 $16,000〜$21,000機械学習エンジニア正社員シニア · 4年以上サンフランシスコ—
機械学習と最適化アルゴリズムを活用し、インフラの効率を最大化する業務を担当します。コンピュータサイエンス関連の修士号と、機械学習モデルの商用環境へのデプロイ経験が必須です。Python、Scala、Javaのいずれかに精通し、分散システムの知識が求められます。少人数の専門家チームで構成され、博士号保持者は優遇されます。
機械学習と最適化アルゴリズムを活用し、インフラの効率を最大化する業務を担当します。コンピュータサイエンス関連の修士号と、機械学習モデルの商用環境へのデプロイ経験が必須です。Python、Scala、Javaのいずれかに精通し、分散システムの知識が求められます。少人数の専門家チームで構成され、博士号保持者は優遇されます。
RDQ127R59
Summary
As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers.
Databricks 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
$16,000—$21,000 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.