About OpenSesame

OpenSesame helps develop the world’s most productive and admired workforces. With the most comprehensive catalog of elearning courses from the world’s top publishers, we are here to help our customers every step of the way, from finding courses, mapping them to core competencies, syncing with the LMS to increasing utilization and improving L&D programs.

About the Team

Our engineering team has a strong culture of working in an agile, continuously improving, and automation-oriented environment. We recognize the need to always be evolving, to look objectively at where things are getting better or worse, and take action.

We design and implement new machine learning systems to curate, personalize, and recommend content to OpenSesame customers. We currently own models for recommendations, similar content, search, and course enrichment, and will be embarking on exciting new initiatives over the next year. The team is responsible for end-to-end machine learning systems from experimentation, data exploration, and new proof of concepts to data pipelines, CI/CD, and API development.

About the Job

As a Lead Machine Learning Engineer, you will be a core designer and developer of the machine learning infrastructure we use for all our models. This role will be responsible for building reliable data pipelines, experimentation infrastructure, model training and serving infrastructure, serverless API development, and be an active contributor to the development of new models.

You will design systems that let us move quickly and confidently, while minimizing maintenance overhead so we can focus more of our energy on exciting modeling projects.  You will be expected to be a growing engineer capable of mentoring others, learning from others, and contributing to the team in every way to keep OpenSesame moving forward.

Technical requirements

  • A growth mindset, strong communication skills, and empathy for our users.
  • Proficient in Python.
  • Experience with both the traditional software development lifecycle and the machine learning development lifecycle.
  • Experience with cloud computing infrastructure, preferably in AWS.
  • Experience building and maintaining data pipelines.
  • Experience with an infrastructure-as-code tool, such as Terraform.
  • Understanding of modern cloud networking and monitoring.
  • Knowledge of NLP and recommender modeling techniques.
  • Knowledge and interest in serverless design patterns.
  • Nice to have: experience with ElasticSearch, deep learning, TypeScript, and the technologies described below.

We write in Python, Pandas, Scikit-Learn, PyTorch, and Transformers. The main tools we use are Jupyter Notebooks, AWS SageMaker, AWS Lambda, Terraform, Docker, Github Actions, ElasticSearch, and Snowflake.

Our tech stack outlined above is not fixed.  We strongly believe in using the right technology for a given job and in constantly experimenting with new technologies.

We encourage members of underrepresented communities to apply.  At OpenSesame, we are committed to inclusion across race, gender, religion, age, and identity. 

Become the Best Version of Yourself

We want OpenSesame to reflect the diversity of the communities we serve and the world we live in.
We know that a variety of perspectives and voices strengthen our ability to deliver the spark of learning to everyone. 
We hold ourselves accountable to create more diverse, equitable, and inclusive communities through continuous learning, personal growth, and working to support our customers.
We welcome you to bring your authentic self to our team and grow beyond your expectations.

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