Job Opening – Machine Learning Engineer

Machine Learning Engineer

Language Confidence automates the teaching and testing of spoken English. We are recently venture-funded, are growing rapidly and are searching to grow the core team of our company. We have a team, investors and advisors that hail from MIT, Google, Facebook, Microsoft, Morgan Stanley, and more. YTD we are 6x in new, signed customers with little to no outbound sales. We have more about our core technology here.

We operate at the intersection of bleeding and cutting edge; using the latest in AI technologies to create products for the real world, to be put in use by millions of students.

Our vision at Language Confidence is to bring scalable, affordable and high-quality language education to the world by providing innovative technical solutions. Our first mission is to build state of the art AI solutions to help automate the teaching and assessment of spoken English. There is a social net benefit to our company and our mission. 

The EdTech market is rapidly expanding and we are already the leader in SaaS AI solutions for language learning after being successful with significant contracts in 5 continents. Our vision is a full suite of AI tools for Automated Speech Assessment involving solutions for pronunciation, fluency and prosody to power every student’s online language learning journey.

We currently have our Pronunciation API product in the market helping English learning apps and universities around the world and have many other exciting partnerships in motion.

Our goal is to build a team of smart and passionate individuals, give them interesting challenges and empower them to do their best work.

There will be opportunities to learn every single day, ownership and creative direction over product development, research and input into technical design and overall company direction.

We are searching for an amazing machine learning engineer to jump aboard with us.

A Day In The Life – Typical duties will involve:

  • Working on the full lifecycle of an ML model: Data gathering and analysis, model creation, model evaluation, model deployment, monitoring models in production.
  • Keeping up the speed with the latest research in the field and experimenting with new ideas.
  • Using your own creativity and ingenuity to best solve technical challenges.
  • Collaborate with cross-functional teams and help others do their best work.

Must-Have Skills

  • Experience building modern deep learning models.
  • Experience with Tensorflow/PyTorch.
  • Solid programming fundamentals.
  • Experience with Python

Added Bonuses If You Have…

  • Experience in building NLP and speech recognition models.
  • Experience with DevOps / MLOps practices and tools.
  • Experience with cloud computing, GCP or AWS.
  • Experience working in a lean/agile team.

You are a right fit for our team if you are:

  • Passionate and a lifelong learner.
  • Honest and open-minded.
  • Have the courage to speak up and share your ideas and concerns.
  • Willing to help others.
  • Get to work on fascinating technical problems and make a difference in the world.
  • Uncapped opportunities for learning and growth. 
  • Come work in a challenging, fun and dynamic team. Come work with us, not for us.

More about our benefits

  • Competitive salary and equity incentives.
  • Bonus structure based on team milestones.
  • Flexible remote working environment, we encourage a healthy work/life balance.
  • Opportunities for paid charity work as part of the 1% pledge.
  • As we grow we are committed to giving back to employees.

Please contact with your LinkedIn, Resume, Repositories, and a little about yourself.

Ready to use Language Confidence?