Subject Matter Expert - Machine Learning

San Francisco, CA, United States

Triplebyte


Role Location

  • San Francisco, CA, United States

Compensation

Employees

51 - 100 people

Address

301 Howard St Ste 700
San Francisco, CA, 94105, US

Tech Stack

  • Ruby on Rails
  • Redis
  • PostgreSQL
  • React
  • Python
  • Tensorflow

Role Description

Triplebyte has developed a modern approach to skill assessments, backed by extensive psychometrics research and validated with real technical interviews and hiring outcomes at 1,000+ companies. Our assessments are background-blind, unbiased, and designed to be highly predictive of success in downstream technical interviews, thus they help every candidate put their best foot forward when being considered for an engineering / data science role.

As a Subject Matter Expert, you’ll develop new content for multiple-choice skill assessments in Machine Learning. Through these questions you’ll look to test understanding of various concepts, models, technologies and practical implementation considerations that ML engineers need to be familiar with. The content will span a range of skill levels — from Entry-level through Principal. We design the content to be clear, unbiased, and relevant to practical jobs in the tech industry. Therefore we are looking for people with a combination of practical experience in the industry, detail orientation and an interest in teaching / coaching.

What you'll do

  • Identify topics to develop content
  • Develop questions for multiple-choice tests in Machine Learning
  • Work with Triplebyte’s assessments team to review questions for quality assurance
  • Peer review questions developed by other subject matter experts

What you'll need to be successful

  • 5+ years professional experience with Machine Learning
  • Experience in hiring / interviewing ML engineers
  • Understanding of ML concepts such as the bias/variance tradeoff, cross-validation, regularization, etc. and concepts in statistics and probability
  • Understanding of deep learning concepts such as tensor operations, network layers, activations, optimizers, loss functions, etc.
  • Knowledge of practical implementation of ML in current real-world applications
  • Familiarity with tools, languages and Libraries commonly used in ML, e.g. TensorFlow, Scikit-Learn, Pytorch, etc.

Bonus Qualifications

  • Academic / teaching experience

About Triplebyte

Triplebyte is transforming the way software engineers are hired. Our mission is to build an open, valuable and skills-based credential for all engineers. This is important because millions of people have skills (and deserve good jobs), but don’t fit the profile that recruiters seek. We aim to cut out that noise by matching opportunities to people who have the skills to succeed in them - regardless of their background.

Companies like Apple, Facebook, Dropbox and American Express trust Triplebyte’s technical assessment to identify the best engineers for their open roles and reduce the time and effort it takes to hire them.

We raised a $35 million Series B and our team of 52 is growing.

Company Culture

We have a laid-back, friendly office culture. Over lunch you'll often find us discussing the latest in technology, books, and pop culture, and then maybe getting in a quick game of chess or babyfoot (foosball).

Since we're an early-stage company, we move fast, and it's important that each member of our team is able to take ownership of projects by defining problems, brainstorming solutions, and running experiments.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.