Machine Learning Engineer – San Francisco

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  Data Science, Artificial Intelligence & Machine Learning Jobs

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  California

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  Permanent

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  $150,000 - $200,000 per annum

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  3537

Machine Learning Engineer | San Francisco, Fully remote | $150,000 – $200,000 per year

 *US citizen/H1B*

Are you passionate about Machine Learning? Do you develop easy to maintain ETL/ELT data pipelines? Are you interested in Crypto and Blockchain? My client offers fraud prevention as a service for the digital world of Crypto and NeoBanking and they’re looking for their next engineer!

What’s in it for you?

My client is on the hunt for an ML Engineer within the FinTech sector to work in a small but rapidly growing team! This is an exciting prospect to work in an upcoming start-up helping companies make safer and better transactions by monitoring behaviour using Machine Learning, and risk mitigation associated with high-speed money movement, from banks and cards, digital wallets and crypto.

What I’m looking for from you?

You have experience developing ETL/ELT data pipelines that are easy to monitor and maintain, and you can build data warehouse solutions for Business Intelligence reporting. This is a collaborative role, so embracing working closely with other engineers is valuable! You’ll work with other ML engineers to build a serving layer storage to support online data processing and support Data Scientists to implement automation for their ML model training.

Let’s get technical:

• 3 years experience in large scale data projects
• Degree in Computer Science or equivalent
• Experience designing complex Data Models and Data Engineering solutions
• SQL
• GCP technologies such as dataflow, bigquery, bigtable or pubsub
• Python, Spark or similar
• Looker, Tableau or similar
• Airflow

Benefits:

• $150k-$200k base
• Equity included
• Fully remote working
• Unlimited paid time off
• Healthcare included + 401K

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We welcome applications from all suitably qualified people regardless of gender, race, disability, age or sexual orientation. All applications are assessed purely on merit, against the capabilities and competencies required to fulfil the position. If you require any reasonable adjustments throughout the recruitment process please do let us know.