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Online Machine Learning Postdoc Jobs in Texas (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

... and online experiments Requirements * Willingness to work 4 day in-office, 1 day remote weekly ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

... and online experiments Requirements * Willingness to work 4 day in-office, 1 day remote weekly ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

... and online experiments Requirements * Willingness to work 4 day in-office, 1 day remote weekly ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation ...

Showing results 41-60

Online Machine Learning Postdoc information

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are the most commonly searched types of Machine Learning Postdoc jobs in Texas? The most popular types of Machine Learning Postdoc jobs in Texas are:
What are popular job titles related to Online Machine Learning Postdoc jobs in Texas? For Online Machine Learning Postdoc jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Online Machine Learning Postdoc jobs in Texas look for? The top searched job categories for Online Machine Learning Postdoc jobs in Texas are:
What cities in Texas are hiring for Online Machine Learning Postdoc jobs? Cities in Texas with the most Online Machine Learning Postdoc job openings:

Manager, Machine Learning, Apple Store Online

Apple

Austin, TX • On-site

$81K - $112K/yr

Full-time

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineering leader. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a leader of the fast-paced team, you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.
Description
To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment.
Minimum Qualifications
5+ years related experience in enterprise applications with 2+ years of managing large engineering teams
You can actively participate in investigations into realtime and offline analysis, and draw conclusions from data, recommend actions.
Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams.
Experience enabling large-scale, high throughput and distributed customer facing applications
Preferred Qualifications
Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture
Experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc)
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976