Job highlights
Identified by Google from the original job post
Qualifications
Thorough knowledge of Python, Spark, Java, and PostgreSQL
Experience working with infrastructure technologies like Kube, Helm, etc
Familiarity with data and ML infrastructure and operations
Experience working with production systems and knowledge of deployments, releases, and CI/CD pipelines
Understanding and experience with distributed systems
Understanding of technologies like Spark and Iceberg
General knowledge about AWS S3 object storage
Good communication skills with internal customers
Machine Learning, Python, Spark, Java, PostgreSQL, Iceberg, Superset, PyTorch, TensorFlow, S3
Benefits
W2 Contract
Salary Range: $135,200 - $156,000 per year
Responsibilities
In this role, you will work with the engineering team to migrate customers from the previous service to our new one
Migration will include tooling to move data and working with customers to change their Python clients to use the latest SDK. The role will require working with multiple partner teams and customers to deploy our services in these accounts
Migrate public data sets with Python
Coordinate with customers to migrate their datasets and provide support during the migration
Help customers change their code to use the new SDK
Perform changes to services written in Java
Mitigate and resolve issues identified during migration
Identify and fix issues in the migration tool and add new functions
Assist EPMs in collecting metrics to track the progress of the migration
Deploy the services to new accounts, working closely with partners and engineers
Job description
Software Engineer, Machine Learning

W2 Contract

Salary Range: $135,200 - $156,000 per year

Location: Cupertino, CA - Hybrid Role

Job Summary:

We are the engineering team for an internal service that generates, manages, and consumes datasets, features, and embeddings for ML training. In this role, you will work with the engineering team to migrate customers from the previous service to our new one. Migration will include tooling to move data and working with customers to change their Python clients to use the latest SDK. The role will require working with multiple partner teams and customers to deploy our services in these accounts.

Duties and Responsibilities:
• Migrate public data sets with Python
• Coordinate with customers to migrate their datasets and provide support during the migration.
• Help customers change their code to use the new SDK
• Perform changes to services written in Java.
• Mitigate and resolve issues identified during migration.
• Identify and fix issues in the migration tool and add new functions.
• Assist EPMs in collecting metrics to track the progress of the migration.
• Deploy the services to new accounts, working closely with partners and engineers.

Requirements and Qualifications:
• Thorough knowledge of Python, Spark, Java, and PostgreSQL
• Experience working with infrastructure technologies like Kube, Helm, etc.
• Familiarity with data and ML infrastructure and operations.
• Experience working with production systems and knowledge of deployments, releases, and CI/CD pipelines
• Understanding and experience with distributed systems
• Understanding of technologies like Spark and Iceberg
• General knowledge about AWS S3 object storage
• Good communication skills with internal customers
• Knowledge of Superset is preferred
• Familiarity with Machine Learning lifecycle and tools, including PyTorch and TensorFlow, is desired

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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Desired Skills and Experience

Machine Learning, Python, Spark, Java, PostgreSQL, Iceberg, Superset, PyTorch, TensorFlow, S3