Senior Machine Learning Engineer
Current
Jun 2024 - Present
AeroLeads people directory · profile
Ayla Khan Email & Phone Number
Senior Machine Learning Engineer @ Recursion, all about the MLOps
at
Recursion
2 work emails found
@recursionpharma.com
1 phone found area 800
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Machine Learning Engineer @ Recursion, all about the MLOps
Location
Salt Lake City Metropolitan Area, United States
Who is Ayla Khan? Overview
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Quick answer
Ayla Khan is listed as Senior Machine Learning Engineer @ Recursion, all about the MLOps at Recursion, based in Salt Lake City Metropolitan Area, United States. AeroLeads shows a work email signal at recursionpharma.com, phone signal with area code 800, and a matched LinkedIn profile for Ayla Khan.
Ayla Khan previously worked as Senior Machine Learning Engineer at Recursion and Senior Software Engineer at Recursion. Ayla Khan holds Master Of Science - Ms, Computational Engineering And Science from University Of Utah.
Company email context
Email format at Recursion
This section adds company-level context without repeating Ayla Khan's masked contact details.
{first}.{last}@recursionpharma.com
89% confidence
AeroLeads found 2 current-domain work email signals for Ayla Khan. Compare company email patterns before reaching out.
Profile bio
About Ayla Khan
Ayla Khan is a Senior Machine Learning Engineer @ Recursion, all about the MLOps at Recursion. She possess expertise in software development, c++, python, linux, java and 20 more skills. She is proficient in French. Colleagues describe her as "Ayla has a broad knowledge of software development, writes great code and does great work. She can quickly break a problem down and come up with some good ideas for how to solve it. Software from the SCI Institute is used by many different academic institutions, and she has a track record of cutting through the confusion in order to help people understand specifically how they can use her software to address their specific research needs. She's a great communicator and a pleasure to work with."
Listed skills include Software Development, C++, Python, Linux, and 21 others.
Current workplace
Ayla Khan's current company
Company context helps verify the profile and gives searchers a useful next step.
3 roles
Ayla Khan work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer
* ML Infra team (MLOps) (2021+)* Engineering Infrastructure team (2020-2021)* Machine Infrastructure team (2019-2020)
Jun 2019 - Jun 2024
Data And Cloud Engineer
Jul 2017 - Jun 2019
2 education records
Ayla Khan education
Master Of Science - Ms, Computational Engineering And Science
University Of Utah
Bachelor Of Science - Bs, Computer Science, Minor Mathematics
Carleton University
FAQ
Frequently asked questions about Ayla Khan
Quick answers generated from the profile data available on this page.
What company does Ayla Khan work for?
Ayla Khan works for Recursion.
What is Ayla Khan's role at Recursion?
Ayla Khan is listed as Senior Machine Learning Engineer @ Recursion, all about the MLOps at Recursion.
What is Ayla Khan's email address?
AeroLeads has found 2 work email signals at @recursionpharma.com for Ayla Khan at Recursion.
What is Ayla Khan's phone number?
AeroLeads has found 1 phone signal(s) with area code 800 for Ayla Khan at Recursion.
Where is Ayla Khan based?
Ayla Khan is based in Salt Lake City Metropolitan Area, United States while working with Recursion.
What companies has Ayla Khan worked for?
Ayla Khan has worked for Recursion and Arup Laboratories.
How can I contact Ayla Khan?
You can use AeroLeads to view verified contact signals for Ayla Khan at Recursion, including work email, phone, and LinkedIn data when available.
What schools did Ayla Khan attend?
Ayla Khan holds Master Of Science - Ms, Computational Engineering And Science from University Of Utah.
What skills is Ayla Khan known for?
Ayla Khan is listed with skills including Software Development, C++, Python, Linux, Java, Image Processing, Machine Learning, and Amazon Web Services.
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