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Alteryx
Alteryx

Lead Software Engineer, AutoML

Salary Estimate

N/AIconOpenNewWindows

Seniority

Lead

Tech stacks

Python
API
Algorithm
+8

Permanent role
6 years ago
Apply now

About Alteryx
Alteryx develops software for data preparation and analysis, including a number of server solutions for model deployment, collaborative work on data, and scheduling of automatic data processing. We're revolutionizing data analytics by providing a complete end to end, self-service platform that allows users to get from business questions to business answers at incredible speeds.

Why work for just any analytics company? At Alteryx, we are explorers, dreamers, and innovators. We're on a journey to build the best analytics platform in the world, but we can't do it without people like you leading the way.

About the Boston Office
The Boston Office was started earlier this year by the acquisition of MIT-spinout Feature Labs. This rapidly growing team combines the excitement of being part of a fast-paced, innovative startup with the resources, market penetration, and wisdom of the data analytics market leader. Forget the stereotypical tech companies of the past. Embrace the unconventional, exercise your imagination and help alter the future with Alteryx!

Overview
As a Lead Software Engineer on the AutoML team, you’ll be directly responsible for building a core machine learning library which powers Alteryx’s current and future products. You should be comfortable with the challenges of engineering systems for machine learning technologies, adept at software design and implementation, and readily able to solve complex challenges with mathematical dependencies.

Responsibilities
Maintain and improve the quality and performance of the AutoML package
Design, build and validate new machine learning pipelines
Author new features, from conception and design to implementation and testing
Integrate AutoML with other products and services
Promote a culture of rigorous software development practice and high quality standards
Mentor other engineers and promote technical leadership throughout the organization
Be part of a dynamic, friendly and ambitious team with technical influence throughout Alteryx and beyond

The company will not provide sponsorship for work visas or other employment authorization for this position

Requirements
Minimum 5 years experience as a software engineer
Experience writing production-quality code in Python
Experience with a broad variety of machine learning algorithms
Experience and interest in leading teams and managing projects
Experience with API design
Understanding of the math which powers machine learning and data analysis in general
Experience with data-related Python tools like NumPy, SciPy, Pandas, Scikit-learn, and Dask
Experience with debugging complex software issues and mathematical systems

Bonus
Experience with AutoML algorithms and products
Experience with performance testing machine learning systems
Experience building systems for distributed computation

Perks
100% company-paid medical, dental, and vision for associates
Health plans that cover your family and pets
Company matched 401(k)
Associate stock purchase plan
Paid time off: 3 weeks’ vacation, 5 sick days, 9 holidays, 3 floating holidays, and 20 hours volunteer time
100% paid parental leave
Tuition reimbursement
Wellness programs with up to $300 fitness reimbursement annually
Collaborative offices stocked with healthy snacks and drinks
Office events, catered lunches, and happy hours

About Alteryx

👥501-1000
📍Irvine, CA
🔗Website

Alteryx Service

Alteryx product / service
Alteryx product / service
Alteryx product / service
Alteryx product / service
Alteryx product / service

How does Alteryx work?

Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.

Company culture

Customer First

We are relentlessly focused on customer success and always put the customer first.

Accountability

We hold ourselves accountable for results and deliver the best in everything we do.

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