Currently, we’re in search of an innovative Machine Learning Engineer with a passion for turning data into strategic assets. As a ML Engineer in our Identity and Access Management (IAM) business unit, you will utilize our state-of-the-art, public Cloud platform, with datasets from over 22 products. In addition, you will work hand-in-hand with our product Machine Learning team to differentiate LogMeIn to our customers. Your role will empower Data Scientists to better understand business-critical hypotheses, implement tests, and scale ideas that will impact millions of daily active users. Your team will be regularly interacting with senior leadership and sharing contributions across our entire company.
Our headquarters are two state-of-the-art buildings on Summer Street in the heart of Boston’s Innovation District that includes a 2,200 sq ft roof deck and patio. We work in an open and collective environment simplifying how people connect to each other and the world around them.
LogMeIn Product Portfolio: GoToMeeting, GoToWebinar, Grasshopper, Join.me, GoToTraining, OpenVoice, Jive, Rescue, Bold360, GoToAssist Seeit, GoToAssist, Rescue Lens, LastPass, Pro, Central, GoToMyPC, (https://www.logmeininc.com/products)
LogMeIn simplifies how people connect with each other and the world around them to drive meaningful interactions, deepen relationships, and create better outcomes for individuals and businesses. One of the world’s top 10 public SaaS companies, and a market leader in communication & conferencing, identity & access, and customer engagement & support solutions, LogMeIn has millions of customers spanning virtually every country across the globe. LogMeIn is headquartered in Boston with additional locations across North America, Europe, Middle East, Asia and Australia.
Be Accountable - even when no-one is looking
Thrive Together - greatness comes from unlocking each other’s potential
Advance Confidently - we find opportunity and act on it
Collaborate Openly - our whole is greater than the sum of our parts
Engage Fearlessly - we speak up and listen