Company Name:-
Tala

Job Location:-
Santa Monica, CA 90403 (Wilshire/Montana area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionTala was named one of the top 50 FinTech companies in the world.

We are a financial technology company on a mission to make financial services simple, inclusive, and accessible for the doers and dreamers globally.

We are building the digital bank for the next billion!
So far, more than 6 million people in emerging markets have borrowed through our Android app, which provides instant credit scoring, lending, education, and other personalized financial services.

Headquartered in Santa Monica, we support the needs of our customers in Kenya, Mexico, Philippines, and India.

The Machine Learning Engineer II will contribute their expertise in both data science and software engineering to develop scalable, robust ML products.

This IC role will deliver new products and improvements to our data science infrastructure from within Tala’s Data Platform team, participating in collaborative design discussions and delivering well-tested, performant solutions which meet the quality and design standards of the senior engineering staff.

The Machine Learning Engineer II will proactively identify and overcome potential barriers to their project’s success, requesting appropriate guidance and mentorship from senior staff.

Competencies
2+ years experience working on backend software using modern languages and frameworks (Java, Scala, Python, GoLang)
1+ years of engineering experience relating to data pipelines and machine learning at scale
Database experience, relational or non-relational (MySQL, PostgreSQL, Cassandra, HDFS)
Some hands-on experience in cloud computing (AWS, EC2, S3, RDS, ELB, GCP, Azure)
Some hands-on experience with machine learning tools and tech (such as SageMaker, sklearn)
Working knowledge in API development for mobile/web useAbility to build, instrument, and engineer medium to complex projects without excessive reliance on the senior staff
Ability to prioritize and communication in a fast paced environment
Ability to clearly communicate and understand algorithms, design, and complex architectures
Ability to become quickly proficient with the tools and procedures used by the Data Platform team
Readiness to own a task throughout design, development, launch, and post-

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