Machine Learning Engineer, Vagaro

$160-190k

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Tensorflow

Azure

NumPy

Pandas

Scikit-Learn

PyTorch

Sagemaker

Senior level

San Francisco Bay Area

Office located in Pleasanton, CA

Business management software for salons, spas, and fitness studios

Job no longer available

Business management software for salons, spas, and fitness studios

501-1000 employees

B2BEnterpriseInternal toolsMarketingPaymentsSaaSMobileWeb Design

Job no longer available

$160-190k

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Tensorflow

Azure

NumPy

Pandas

Scikit-Learn

PyTorch

Sagemaker

Senior level

San Francisco Bay Area

Office located in Pleasanton, CA

501-1000 employees

B2BEnterpriseInternal toolsMarketingPaymentsSaaSMobileWeb Design

Company mission

To help small businesses and independent service professionals reach their objectives by bringing technology solutions that foster growth.

Job

Company

Role

Who you are

The ideal candidate will have a strong background in machine learning, data science, and software engineering
Minimum of 5 years of experience in machine learning (ML) and data science (DS), applying supervised, unsupervised or reinforcement learning paradigms and with proven track record of deploying machine learning models in production
Proficiency in machine learning models such as Logistic Regression, Random Forest, XGBoost and Neural Networks
Proficiency in using ML frameworks such as TensorFlow, PyTorch and Scikit-learn
Proficiency in programming languages such as Python, Java, Scala, PySpark and R
Familiarity with data exploration libraries such as Pandas, NumPy and Matplotlib
Familiarity with DS and ML platforms such as Databricks, DataRobot, Azure ML, AWS SageMaker and H2O.ai
Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes)
Strong problem-solving skills to devise innovative and creative AI solutions
Excellent communication and collaboration skills in a fast-paced environment

What the job involves

You will be responsible for designing, developing, and deploying machine learning models and systems that will drive our business solutions tailored to meet the evolving needs of the health, beauty, and wellness industry
Design and develop robust machine learning models for a variety of applications based on strong intuition and ability to interpret results
Perform exploratory data analysis and preprocessing to prepare data for modeling
Implement, test, and deploy scalable machine learning solutions in production
Collaborate with data engineers to ensure seamless integration and transformation of data sources for machine learning applications
Collaborate with cross-functional teams to seamlessly integrate AI / ML capabilities into existing products and pioneer the development of new AI-powered solutions
Lead technical discussions and present complex ideas to non-technical stakeholders
Stay current with the latest advancements in machine learning and artificial intelligence

Our take

For over a decade, Vagaro has been providing salons, spas, and fitness studios with a full suite of business management and payment processing tools, including payroll, payments, bookings, and marketing. Hitting Unicorn status back in late 2021, there has been surprisingly little fanfare around the company, which crept up on the market to secure an international footprint across the UK, US, Australia, and Canadian markets.

Benefitting from an upswing in business during the pandemic, when its salon and fitness clientele were obliged to double down on digital transformation, Vagaro has won the trust of a strong and extensive roster of independent professionals. In a time of crisis, the sector proved itself to be business-critical. This strong reputation will help ease Vagaro's planned expansion into other regional markets, as it grows its operations into the future.

Steph

Company Specialist at Welcome to the Jungle

Insights

Glassdoor (3.1)

Trustpilot (4.1)

Company

Funding (1 round)

Dec 2018

$63m

GROWTH EQUITY VC

Total funding: $63m

Company benefits

Attractive Compensation & Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses
Generous PTO: 15 accrued days, plus 10 company holidays annually
Health & Wellness: Comprehensive healthcare, dental, and vision plans for you and your family. 🏥
Exclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork. 🎟️
Beauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments. 💅
Food Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription. 🍽️
Growth Opportunities: College Assistance Reimbursement, access to EAP & Work/Life Programs, and a LinkedIn Learning account. 📚
Financial Security: 401k program with 4% matching and optional life/supplemental insurance. 💰
Stay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized! 🏀

Company HQ

Pleasanton, CA

Leadership

Fred Helou

(Founder & CEO)

Previously a Software Manager at Applied Materials, and then a Director at Novellus.

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