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Google Machine Learning Engineer Jobs in Austin, TX

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

Bumble Inc. is dedicated to creating healthy and equitable relationships through their products, and they are seeking a Staff Machine Learning Engineer to lead the development of advanced machine ...

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 ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

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 ...

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

Striveworks

Staff Machine Learning Engineer

Austin, TX · On-site +1

The Role As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

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

Google Machine Learning Engineer information

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$31.2K

$127.6K

$191.8K

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

As of Jul 18, 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 are the key skills and qualifications needed to thrive in the Google Machine Learning Engineer position, and why are they important?

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 is a Google Machine Learning Engineer job?

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 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:
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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
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Bumble Inc.

Austin, TX • On-site

Full-time

Posted 20 hours ago

Job description

Job Summary:
Bumble Inc. is dedicated to creating healthy and equitable relationships through their products, and they are seeking a Staff Machine Learning Engineer to lead the development of advanced machine learning systems. In this role, you will be responsible for designing scalable ML platforms, driving end-to-end ML systems, and mentoring team members to elevate technical standards.
Responsibilities:
• Own and drive large-scale, end-to-end ML systems powering recommendations, ranking, and personalization, influencing product and technical direction
• Design and architect scalable ML platforms and pipelines, integrating data processing, training, evaluation, and deployment (e.g. Spark, Airflow)
• Build and optimise advanced models using modern ML frameworks (e.g. PyTorch), ensuring performance, scalability, and reliability in production
• Lead the development of LLM-powered systems and AI agents, including prompt design, fine-tuning, and system integration
• Establish best practices for experimentation, including robust A/B testing and evaluation methodologies
• Collaborate cross-functionally at depth, partnering with Product, Engineering, and Data to shape strategy and deliver impactful ML solutions
• Mentor and elevate engineers across the team, fostering a culture of Respect, ownership, and technical excellence
• Take ownership of highly ambiguous problem spaces, seeing initiatives through from insight to impact while adapting with an agile mindset
Qualifications:
Required:
• Typically requires 8-12 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• Deep expertise in machine learning, with significant experience building and scaling production-grade systems
• Strong proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP
• Expertise in designing scalable ML and data pipelines using distributed systems (e.g. Spark, Airflow or similar)
• Experience working with LLMs and building production-ready AI-driven features or systems
• Demonstrated ability to operate as a senior individual contributor, influencing technical decisions and elevating team capabilities
• Strong cross-functional collaboration skills, working with purpose and taking ownership of outcomes across teams
• Advanced AI fluency, with the ability to design, evaluate, and optimise ML systems and guide others in responsible AI practices
Company:
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. Founded in 2014, the company is headquartered in Austin, Texas, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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