Senior Machine Learning Engineer (Remote)

Come join a Series A startup that is helping millions of people achieve financial wellness.

  • New York, NY
  • $185,000 - $240,000
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A bit about us:

We are a venture-backed fully-remote FinTech startup committed to helping millions of people achieve financial wellness while de-stigmatizing debt.

We are looking to hire a Senior Machine Learning Engineer who will play a huge role in our company as ML/AI is integral within our product to better understand users and create new products that help improve personal finances.

Why join us?

It is the perfect time to join our team as we recently received $15M Series A funding that is helping us grow and scale the product + remote team.

  • Competitive salary and stock options
  • Medical, Vision and Dental Insurance
  • 401 (k) with generous match
  • Flexible and 100% remote work structure
  • Computer provided
  • WFH stipend
  • Wellness reimbursement
  • Unlimited PTO
  • Unlimited Sick Time

Job Details

Qualifications for this role:

  • 4+ years of machine learning product development experience and have a deep understanding of the best practices for ML systems
  • 6+ years of experience in software engineering and development experience in Python, SQL, Go, and/or other programming languages
  • Fluency in using a neural network framework such as TensorFlow, Keras, Caffe, PyTorch, Theano, or MXNet
  • Ability to architect data pipelines using tools like Apache Beam or Spark
  • You have experience with creating best practices for data organization-wide
  • A track record of providing mentorship and technical leadership
  • Ability to build APIs and libraries for Java, Scala, or Python
  • Experience with data processing and storage frameworks like Google Cloud Dataflow, Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc
  • Work collaboratively with other engineers to understand business priorities and architect solutions to machine learning challenges
Easy Apply Now
Easy Apply Now
Job Details
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Job Type
$185,000 - $240,000