Degree in Computer Engineering
Algorithms, Apache Airflow, Apache Cassandra, Apache Kafka, API, AWS, Azure, Google Cloud Platform (GCP), HDFS, Jupyter Notebook, Kubernetes-K8s, Pandas, PostgreSQL, PyTorch, REST API, Scikit-learn, Snowflake, TensorFlow
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for five years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Lead Machine Learning Engineer is an individual contributor and a technical lead who will build, monitor, and maintain Tala’s core machine learning and causal inference services and tooling. In addition, you will own customer-facing real-time streaming feature extraction and model inference, model-related batch compute platforms and jobs, service level objective definition and measurement, root cause analysis, software and architecture design, enterprise technical maturity assessment, highly effective cross-functional collaboration, and mentorship. You will effectively represent Tala in the greater machine learning engineering community, participating in knowledge sharing, open source projects, technical writing and speaking, and community evangelism.
What you'll do
What you'll need
We strive to provide Talazens and their loved ones with a holistic benefit experience! We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
Salary range: $165,000-$220,000
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Tala offers digital financial services for the traditionally underbanked to borrow, save and grow their money. Powered by advanced data science and machine learning, Tala is building the world’s most accessible financial services, underwriting overlooked populations who are excluded from traditional services due to a lack of formal financial history.