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Google Machine Learning Engineer Jobs in Austin, TX

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$130 - $180/hr

Partner with data engineering and product pods to put predictions in the tools people already use. What We're Looking For * The below is a starting point. We always make space for exceptional people ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$224K - $344K/yr

Partner with data engineering and product pods to put predictions in the tools people already use. What We're Looking For * The below is a starting point. We always make space for exceptional people ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

Adobe

2027 Intern - Machine Learning Engineer

Austin, TX · On-site +1

The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Austin, TX

Google Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do google machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for google machine learning engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a Google machine learning engineer?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What skills and qualifications are needed to thrive as a Google machine learning engineer?

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What types of projects and collaborations can Google machine learning engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Austin, TX?

The most popular types of Google Machine Learning Engineer jobs in Austin, TX are:

What are popular job titles related to Google Machine Learning Engineer jobs in Austin, TX?

For Google Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:

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The top searched job categories for Google Machine Learning Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Google Machine Learning Engineer jobs?

Cities near Austin, TX with the most Google Machine Learning Engineer job openings:

Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.

Machine Learning Engineer

Samsung Electronics Co., Ltd.

Taylor, TX • On-site

$90K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

129th of 161 rated electronics manufacturers

Job description

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
As a Machine Learning Engineer at Samsung Austin Semiconductor, you will build and maintain the model pipelines for our anomaly detection and root cause analysis systems. You will work heavily with PySpark to process large-scale time-series and operational data, prepare training datasets, and manage the full model deployment lifecycle. Your day-to-day will involve designing robust ML pipelines, developing and validating models, and optimizing PySpark jobs for large-scale processing. You will bridge the gap between model development and production, contributing to model tuning while taking ownership of the scalable systems that bring these models to life.
The team operates in a collaborative, sprint-driven environment where you will have the autonomy to design technical approaches, test new tools, and iterate quickly based on feedback. Prior semiconductor experience is helpful but not required; you will learn the domain through hands-on projects and direct support from the team.
Role and Responsibilities
Here's What You'll Be Responsible For:
  • Build PySpark workflows that ingest, clean, and transform high-volume manufacturing data, converting raw signals into structured datasets ready for training and inference.
  • Optimize Spark jobs by tuning partition strategies, managing executor memory, minimizing shuffle operations, and handling skewed joins to reduce runtime and cluster resource usage.
  • Design and maintain end-to-end ML pipelines that automate feature calculation, model training, validation, and deployment, ensuring each run is reproducible and auditable.
  • Implement and tune machine learning models for anomaly detection and root cause analysis.
  • Manage the model lifecycle in production: track versions, store artifacts securely, trigger automated retraining, and execute rollback procedures when performance degrades.
  • Monitor pipeline execution times, data quality checks, and model metrics (accuracy, drift, throughput), building alerting rules to catch failures or degradation early.

Skills and Qualifications
Here's what you'll need:
Required
  • Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
  • 3-5+ years of professional experience building and maintaining machine learning systems.
  • Strong proficiency in PySpark and distributed data processing, with experience optimizing jobs for speed and memory.
  • Hands-on experience with Python ML libraries (scikit-learn, TensorFlow, PyTorch, or XGBoost) for model training and evaluation.
  • Practical knowledge of MLOps practices, including pipeline orchestration, model versioning, experiment tracking, and deployment.
  • Experience setting up monitoring and alerting for both data pipelines and deployed models.

Preferred
  • Experience setting up model registries, automated retraining triggers, and rollback procedures to keep production models reliable.
  • Experience writing automated tests and validation checks for data pipelines and model outputs to catch errors before deployment.
  • Familiarity with on-prem or private cloud infrastructure, including cluster management and secure artifact storage.

The current base salary range for this role is between $90,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • Life insurance and 401(k) matching with immediate vesting
  • Onsite café(s) and workout facilities
  • Paid maternity and paternity leave
  • Paid time off (PTO) + 2 personal holidays and 10 regular holidays
  • Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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