Staff Software Engineer, Databricks

Machine Learning, Anti-Abuse

Salary not provided

Senior and Expert level

San Francisco Bay Area

Unified cloud platform for big data

Job no longer available

Unified cloud platform for big data

1001+ employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningData Analysis

Job no longer available

Salary not provided

Senior and Expert level

San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningData Analysis

Company mission

To make big data simple for the enterprise.

Job

Company

Role

Who you are

7+ years of machine learning engineering experience in high velocity, high-growth companies
3+ years of experience working on anti-abuse, anti-fraud or integrity efforts where machine learning is applied to detect and fight adversarial entities
Extensive experience in developing and deploying end-to-end machine learning solutions in large scale production systems
Experience collaborating with the product team on designing and developing intelligence features in the products
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
Experience of delivering business impacts with production machine learning solutions
M.S. or Ph.D. in Computer Science or related technical discipline

What the job involves

Work closely with Product Managers, software engineers, data scientists and product stakeholders to create a strategy and roadmap for abuse prevention
In collaboration with software engineers and data scientists, develop and deploy the models in production to protect our products
Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to the stakeholders
Shape the direction of our applied ML areas and intelligence features in our products
Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review

Our take

Open source data management tools are not easy to use, and Databricks offers each of these tools on a centralised platform in the form of SaaS. The company mitigates all previous management headaches associated with using these tools.

Databricks is one of the fastest growing cloud enterprise software companies on record. Through smart features like its notebooks and by sitting on top of open-source tools like Azure and AWS, the company is able to maximise the production capabilities and security of these platforms, turning its service into an even better tool.

Databricks next moves include plans to move public. As the company has many institutional investors, including BlackRock, when it sets out for a likely IPO it is going to have a great head start. Further, a recent product release that allows for the interaction of curated data alongside unstructured data places Databricks in a strong position against major competitors like BigQuery and Snowflake.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

81% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 8 rounds)

Aug 2021

$1.6bn

SERIES H

Feb 2021

$1bn

SERIES G

Total funding: $3.5bn

Company benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)

Company HQ

The East Cut, San Francisco, CA

Leadership

Dr Ali Ghodsi

(CEO)

Gained a PhD in Computer Science before spending 10 years at UC Berkeley as an Adjunct Professor, a role Ghodsi still holds.

Ion Stoica

(Co-founder & Chairman)

Previously a researcher at Berkley in Cloud Computing, Distributed Systems and Big Data.

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