Senior Machine Learning Engineer (Remote)

Preferable Location(s): Lagos, Nigeria | Brazil, United States of America | São Paulo, Brazil
Work Type: Full Time

As a Senior ML Engineer, you'll be expected to work directly on our product with the Deep Learning Team. We expect you to write well-architected, tested, secure and scalable code as part of a team of a few other engineers. You'll have a lot of autonomy over your own schedule and you'll work together with product managers, designers, and front-end engineers to solve common goals.

We value your skills and abilities more than your resume. Here's what we look for:


  • You have the raw intellectual horsepower and the ability to learn quickly
  • You have a strong background in NLP / computer science/math
  • Proficiency with at least one deep learning library (TensorFlow, Torch, MXNet, etc)
  • Familiarity with distributed computing frameworks such as Hadoop or Spark, or distributed training of deep learning models
  • You follow the machine learning community closely and understand the latest advances in deep learning and speech technology
  • You have 3+ years of experience or equivalent as a full-stack engineer
  • You have experience deploying code to production that has supported 1,000+ users
  • You understand sound architecture principles and how to build a fault-tolerant system

You'll be working with :

  • Node.js, MongoDB
  • Redis, RabbitMQ, Elastic-search
  • Paperspace, Kubernetes, Docker, AWS, Terraform
  • React, Keras, Tensor flow

Values that are important to us:

  • You're data-driven and customer-focused
  • You value fast & incremental engineering cycles
  • You maintain design excellence and minimize complexity
  • You measure your results & automate when possible
  • You get 10% better at something every week
  • You have an internal compass and take accountability & initiative


You should be a great communicator and culture maintainer:

  • Take a look at our culture document:
  • We value over-communication and candid feedback and want to build a no-bs, results-driven culture


  • Competitive comp
  • Work remotely anywhere in your respective country
  • Ability to move laterally within a team and grow rapidly
  • Paid time off and flexible leave policy
  • No boss culture
  • Flexible working hours
  • LGBTQ+ friendly
  • Company Offsites/Virtual Retreats
  • Tech reimbursements is building an AI Voice Assistant for the workplace. The platform automatically captures, transcribes, and generates meeting notes. The company is focused on building a searchable knowledge base that unlocks key insights buried inside voice conversations. In just the past year, Fireflies has taken notes for over 3 million people and is used by folks across 60,000+ companies. Fireflies were rated by Gartner as one of the top 25 startups to watch for in 2020. The company has raised $19 million from top-tier investors, including Canaan, Khosla Ventures, and angels from Slack, Facebook, Dropbox, Amazon, and Salesforce. We have a global team across 15+ countries with more than 90+ Employees. has raised $19 million from top-tier investors including Khosla Ventures, Canaan, and execs from Slack, Dropbox, Amazon & Salesforce.

You'll be working with Sam Udotong, CTO at Sam graduated from MIT in 2016 where he studied computer science and aerospace engineering. He and his co-founder Krish were [featured on the cover of Entrepreneur magazine in Sept 2020]

( He's been a [speaker at the MIT AI Conference 2020]( alongside industry leaders like Richard Socher and Sal Khan. He has guest lectured at Stanford for their intro to AI class. Sam is scrappy & committed - he and Krish bootstrapped the company for 3 years, eating Soylent and Domino's pizza almost every day. [Being Scrappy as an Entrepreneur (Product Demo)]( He rejected Harvard Business School to build Fireflies. Sam's goal is to build a multi-regional, boundary-less engineering team that has A+ productivity & communication such that when you go to sleep, you can hand off work and when you wake up, work has already moved forward. If we do these first principles well, we can theoretically build the best engineering organization in the world.

We want to transform how people communicate and work. Come work with us if you share the below values and want to work on hard engineering challenges that will actually make a difference in the lives of people.

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