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Machine Learning Analyst Jobs in Austin, TX (NOW HIRING)

Socket.dev

Sr. Machine Learning Engineer

Austin, TX · On-site

$170 - $210/hr

As a Senior Machine Learning Engineer, you'll take a leading technical role in building the ... Collaborate with cross-functional teams -- product, ML, data engineering, frontend, and analytics ...

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Machine Learning Analyst information

See Austin, TX salary details

$30.7K

$72.6K

$128.8K

How much do machine learning analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning analyst in Austin, TX is $72,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning analyst?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a machine learning analyst?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What does a machine learning analyst do?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

What are popular job titles related to Machine Learning Analyst jobs in Austin, TX? For Machine Learning Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
Machine Learning Analyst jobs near you
Infographic showing various Machine Learning Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,600 per year, or $34.9 per hour.

Staff Machine Learning Engineer - Ads Platform

Apple

Austin, TX

Full-time

Re-posted 22 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

At Apple, we focus deeply on the customer experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 ! . Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to news publishers to big, global brands. Because when advertising is done right, it benefits everyone.
Description
Apple Ads is Hiring a hands-on Machine Learning Engineer. In this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost. ","responsibilities":"Develop and manage end-to-end lifecycle of machine learning models, including observability for large-scale, high-throughput, and low-latency production systems.
Design, develop, and optimize distributed algorithms and data processing frameworks(e.g., Spark).
Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets.
Reinforce Ads integrity and advertiser trust by safeguarding infrastructure.
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Stay up to date with developments in the machine learning industry
Collaborate with product and engineering teams on production systems and applications.
Drive performance optimization, bottleneck analysis, and system tuning across compute and storage layers.
Build tools to support A/B testing, statistical evaluation, and experimentation pipelines.
Ensure data integrity, security, and compliance across all solutions.
Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products.
Preferred Qualifications
10+ years of experience building machine learning capabilities across many different product areas at scale.
Background in Advertising systems.
Contributions to open-source algorithm frameworks or data processing tools.
Minimum Qualifications
8+ years of experience building machine learning capabilities across many different product areas at scale
Strong proficiency in Java, Python, or Scala for algorithm and system development.
Experience with distributed systems and big data frameworks such as Spark, Kafka, Hadoop, or Flink.
Solid understanding of data structures, algorithms, and system design principles.
Familiarity with CI/CD workflows, cloud environments, and containerized deployments.
Knowledge of data validation, cleansing, and quality assurance practices.
Understanding of statistical methods, A/B testing, and online experimentation frameworks.
Prior experience working with Anomaly detection is a plus.
BS or MS in Computer Science, Software Engineering or related technical fields.

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

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