Lakeshore Learning Materials, LLC

Team Lead, Machine Learning

26 March 2024
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Deadline date:
£166000 - £203000 / year

Job Description

ABOUT EARNIN

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

EarnIn is on a mission to reinvent the financial system and make it work for people. We are going through transformative investments in machine learning platforms and algorithms. We are looking for an experienced professional to lead a team of machine learning engineers. This role involves overseeing the development and deployment of machine learning models focused on predicting the risk associated with giving our users early access to earned wages. Join us in creating an outsized business and social impact through technological innovations and algorithms!

This position will be based in Canada. The Canadian base salary range for this full-time position is $166,500 – $203,500 + equity + benefits. Our salary ranges are determined by role, level, and location. This is a remote or hybrid position.

What You’ll Do:

  • Lead and mentor a team of Machine Learning Engineers, fostering a collaborative and high-performance culture.
  • Oversee the end-to-end development and deployment of machine learning models for risk prediction in early access to earned wages.
  • Collaborate with cross-functional teams, including product, data science, and engineering, to define project requirements and deliverables.
  • Ensure robustness, scalability, fairness, transparency and security of machine learning solutions. Contribute to engineering-wide initiatives at Earnin.
  • Stay abreast of industry trends and advancements in machine learning and financial technology to drive continuous innovation.
  • Manage project timelines, resources, and stakeholder communication to ensure successful execution.
  • Recruit other great engineers for your team and help in the recruiting efforts for other teams.
  • Work with the leadership across EarnIn to deliver our mission: build a financial system that works for everyday people.

What We’re Looking For:.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of industry machine learning experience and excellent software engineering skills.
  • 1+ years of experience in leading a team of 3+ machine learning engineers and data scientists.
  • Expertise in the breadth of machine learning modeling techniques such as tree-based models and deep learning techniques.
  • Strong programming skills in Python and familiarity with ML frameworks such as XGBoost, ScikitLearn, TensorFlow or PyTorch.
  • Experience with ML cloud platforms such as Databricks, AWS Sagemaker, or GCP Vertex AI.
  • Strong communication and collaboration skills; you can comfortably work with cross-functional teams of software engineers, PMs, and data scientists.

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.