About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
🎁 Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
🌟 Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...
Machine Learning Engineer • Senior
Skills & Technologies
Overview
Databricks is hiring a Senior Machine Learning Engineer for their GenAI Platform to build customer-facing generative AI solutions. You'll work with technologies like Python and TensorFlow to enhance the ML development lifecycle. This position requires significant experience in machine learning and AI platforms.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying AI models. You are skilled in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build robust machine learning solutions. Your expertise in generative AI allows you to create innovative applications that leverage the latest advancements in the field. You thrive in collaborative environments, working closely with cross-functional teams to translate user requirements into effective AI products. You are passionate about data security and understand the importance of maintaining control over AI models, ensuring they are treated as core intellectual property.
Desirable
Experience with cloud platforms and familiarity with major cloud providers is a plus. Knowledge of data generation, training, evaluation, and serving processes in the ML lifecycle will set you apart. You are also comfortable with agile methodologies and have a proactive approach to problem-solving.
What you'll do
In this role, you will be responsible for building and enhancing the generative AI platform at Databricks. You will lead efforts in developing customer-facing solutions that streamline the ML development lifecycle, from data generation to model deployment. Your work will involve collaborating with product managers and engineers to ensure that the platform meets user needs and adheres to best practices in AI development. You will also engage in continuous improvement of the platform, leveraging user feedback and performance metrics to drive enhancements. As a senior member of the team, you will mentor junior engineers and contribute to a culture of learning and innovation.
What we offer
Databricks provides a dynamic work environment where you can make a significant impact on the future of AI technology. You will have access to cutting-edge tools and resources to support your work. The company values diversity and encourages applications from individuals with varied backgrounds. We offer competitive compensation and benefits, along with opportunities for professional growth and development within the organization.
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