ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Round Rock, TX

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 ...

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 ...

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 ...

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 ...

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 ...

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

$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 ...

Bespoke Labs

Machine Learning Engineer

Austin, TX

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Round Rock, TX

Machine Learning Engineer information

See Round Rock, TX salary details

$29.4K

$120.1K

$180.4K

How much do machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer in Round Rock, TX is $120,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

The most popular types of Machine Learning Engineer jobs in Round Rock, TX are:

What are popular job titles related to Machine Learning Engineer jobs in Round Rock, TX?

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

What job categories do people searching Machine Learning Engineer jobs in Round Rock, TX look for?

The top searched job categories for Machine Learning Engineer jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Machine Learning Engineer jobs?

Cities near Round Rock, TX with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,082 per year, or $57.7 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 23 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.

What Samsung Electronics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply