Senior Machine Learning Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

117% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Machine Learning Engineer Remote - US What's in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we're still in the midst of exciting product growth - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey. About the team & opportunity What's so great about working on Calendly's Data Science & Machine Learning team? We make things possible for our customers through innovation in data, analytics and AI. Why do we need you? Well, we are looking for a Machine Learning Engineer who will deliver business value by building new AI Products for Calendly's customers. You will report to the head of AI and will be responsible for building and operating AI-powered features that create magical experiences for our customers. Our team: - Builds new AI products for Calendly's customers, bringing new capabilities to life. - Works closely with product, design, marketing, customer success, and engineering teams to implement AI solutions to real customer problems. - Drives innovation and makes an impact. You will join a high performing AI team and be an integral part of building new, AI based experiences for internal and external customers alike. What you'll do On a typical

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.