In this role you will build design and build Machine learning systems and data pipelines to ... Software Engineering or related technical fields.
In this role you will build design and build Machine learning systems and data pipelines to ... Software Engineering or related technical fields.
Senior Machine Learning Engineer
Austin, TX · On-site
$121.40K - $160.10K/yr
... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... To be successful, candidates will need a machine learning background, proven software development ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121.40K - $160.10K/yr
... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... To be successful, candidates will need a machine learning background, proven software development ...
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124.40K - $171.50K/yr
Work closely with researchers, software engineers, and robotics experts to integrate ML into real ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124.40K - $171.50K/yr
Work closely with researchers, software engineers, and robotics experts to integrate ML into real ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Senior / Staff Machine Learning Engineer
$124.40K - $171.50K/yr
Work closely with researchers, software engineers, and robotics experts to integrate ML into real ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Senior / Staff Machine Learning Engineer
$124.40K - $171.50K/yr
Work closely with researchers, software engineers, and robotics experts to integrate ML into real ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
BS or MS in Computer Science, Software Engineering or related technical fields. 10+ years of experience building machine learning capabilities across many different product areas at scale.Background ...
BS or MS in Computer Science, Software Engineering or related technical fields. 10+ years of experience building machine learning capabilities across many different product areas at scale.Background ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate, and driven Software Engineer with experience ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate, and driven Software Engineer with experience ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate, and driven Software Engineer with experience ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate, and driven Software Engineer with experience ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience ...
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience ...
Collaborate with software engineers, data scientists, and product teams. * Monitor and improve ... Hands-on machine learning experience * Ability to work independently * Available to work onsite in ...
Quick apply
Collaborate with software engineers, data scientists, and product teams. * Monitor and improve ... Hands-on machine learning experience * Ability to work independently * Available to work onsite in ...
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll ... that enables machine learning within our accelerator chips. Our mission is ambitious: to ...
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll ... that enables machine learning within our accelerator chips. Our mission is ambitious: to ...
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll ... that enables machine learning within our accelerator chips. Our mission is ambitious: to ...
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll ... that enables machine learning within our accelerator chips. Our mission is ambitious: to ...
Software Engineer - Strategic Data Solutions
Austin, TX · On-site
$113.50K - $136.30K/yr
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience ...
Software Engineer - Strategic Data Solutions
Austin, TX · On-site
$113.50K - $136.30K/yr
We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience ...
Onsite :: SDET - Software Engineer :: Austin, Texas :: Contract
Austin, TX · On-site
$49.50 - $64/hr
Position: SDET - Software Engineer Location: Onsite, Austin, Texas Duration: Contract Note: Looking ... Collaborate with ML engineers to validate machine learning models, data quality, prediction ...
Quick apply
Onsite :: SDET - Software Engineer :: Austin, Texas :: Contract
Austin, TX · On-site
$49.50 - $64/hr
Position: SDET - Software Engineer Location: Onsite, Austin, Texas Duration: Contract Note: Looking ... Collaborate with ML engineers to validate machine learning models, data quality, prediction ...
The Applied Machine Learning team has been at the forefront of accelerating digital transformation ... We are looking for talented Software Engineers who are passionate about distributed systems and ...
The Applied Machine Learning team has been at the forefront of accelerating digital transformation ... We are looking for talented Software Engineers who are passionate about distributed systems and ...
Key job responsibilities - Understand the Machine Learning Acceleration (MLA) platforms and ... Software and Hardware Teams to understand challenges and improve efficiency and quality of releases ...
Key job responsibilities - Understand the Machine Learning Acceleration (MLA) platforms and ... Software and Hardware Teams to understand challenges and improve efficiency and quality of releases ...
Finance Digital Transformation - Senior Machine Learning Engineer
Austin, TX · On-site
$121.40K - $160.10K/yr
Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical. Bachelors degree (CS, data science, engineering ...
Finance Digital Transformation - Senior Machine Learning Engineer
Austin, TX · On-site
$121.40K - $160.10K/yr
Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical. Bachelors degree (CS, data science, engineering ...
Key job responsibilities - Understand the Machine Learning Acceleration (MLA) platforms and ... Software and Hardware Teams to understand challenges and improve efficiency and quality of releases ...
Key job responsibilities - Understand the Machine Learning Acceleration (MLA) platforms and ... Software and Hardware Teams to understand challenges and improve efficiency and quality of releases ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...
Senior Deep Learning Compiler Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...
Software Engineer - Test and Validation
$181.10K - $318.40K/yr
... Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac ... We expect artificial intelligence and machine learning to be at the core of the work, developing ...
Software Engineer - Test and Validation
$181.10K - $318.40K/yr
... Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac ... We expect artificial intelligence and machine learning to be at the core of the work, developing ...
Software Engineer
Austin, TX · On-site
Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience ...
Software Engineer
Austin, TX · On-site
Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience ...
Machine Learning Software Engineer information
See Austin, TX salary details
$62.9K - $75.7K
2% of jobs
$75.7K - $88.5K
4% of jobs
$88.5K - $101.3K
6% of jobs
$101.3K - $114.1K
8% of jobs
$120.9K is the 25th percentile. Wages below this are outliers.
$114.1K - $126.9K
7% of jobs
$126.9K - $139.7K
18% of jobs
The median wage is $142.7K / yr.
$139.7K - $152.5K
16% of jobs
$152.5K - $165.3K
2% of jobs
$170.5K is the 75th percentile. Wages above this are outliers.
$165.3K - $178.1K
26% of jobs
$178.1K - $190.9K
1% of jobs
$190.9K - $203.6K
8% of jobs
$62.9K
$146.2K
$203.6K
How much do machine learning software engineer jobs pay per year?
As of May 30, 2026, the average yearly pay for machine learning software engineer in Austin, TX is $146,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,400.00 per year, depending on experience, location, and employer.
What does a Machine Learning Software Engineer do?
A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.
What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?
To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.
What are the day-to-day responsibilities of a Machine Learning Software Engineer?
As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
More about Machine Learning Software Engineer jobs
What are the most commonly searched types of Machine Learning Software Engineer jobs in Austin, TX? The most popular types of Machine Learning Software Engineer jobs in Austin, TX are:
What are popular job titles related to Machine Learning Software Engineer jobs in Austin, TX? For Machine Learning Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
- Machine Learning Engineer New Grad
- Machine Learning Engineer
- Deep Learning Engineer
- Machine Learning Engineer Biotech
- Manager Machine Learning Finance
- Part Time Google Cloud Machine Learning Engineer
- Senior Machine Learning Software Engineer
- Flexible Machine Learning Engineer Biotech
- Volunteer Junior Machine Learning Engineer
- Manager Edge Ai Machine Learning
What job categories do people searching Machine Learning Software Engineer jobs in Austin, TX look for? The top searched job categories for Machine Learning Software Engineer jobs in Austin, TX are:
- Google Machine Learning Engineer
- Ai Ml Engineer Intern
- Staff Machine Learning Engineer
- Machine Learning Manager
- Senior Meta Machine Learning
- Contractual Machine Learning Government
- Remote Spacex Machine Learning
- No Experience Nvidia Machine Learning
- Machine Learning Engineer Associate
- Founding Machine Learning Engineer
What cities near Austin, TX are hiring for Machine Learning Software Engineer jobs? Cities near Austin, TX with the most Machine Learning Software Engineer job openings:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th 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.
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.
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