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Google Machine Learning Engineer Jobs in Austin, TX

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX

$300K - $345K/yr

As a Staff Machine Learning Engineer, you'll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As a Staff Machine Learning Engineer, you'll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence ...

Bumble Inc.

Lead Machine Learning Engineer

Austin, TX · On-site

$255K - $280K/yr

As a Lead Machine Learning Engineer, you'll take ownership of complex, ambiguous problem spaces and drive end-to-end machine learning solutions that span modelling, systems, and product integration.

Bumble Inc.

Lead Machine Learning Engineer

Austin, TX

$255K - $280K/yr

As a Lead Machine Learning Engineer, you'll take ownership of complex, ambiguous problem spaces and drive end-to-end machine learning solutions that span modelling, systems, and product integration.

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of machine learning solutions for complex challenges in autonomy. Responsibilities : • Develop and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121.40K - $160.10K/yr

You will also work on building out a SOTA machine learning platform. We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or probabilistic modeling. * Programming Skills: Proficiency in ...

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning ...

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$31.2K

$127.6K

$191.8K

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

As of May 29, 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 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 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 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.
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Google Machine Learning Engineer jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Bumble Inc.

Austin, TX

$300K - $345K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Introduction to the role & team

 At Bumble, our mission is to create a world where all relationships are healthy and equitable - and at the heart of that mission is our ability to build intelligent, trustworthy systems at scale. As part of the Machine Learning team, you'll play a critical role in shaping how AI powers connection, safety, and personalisation across our products.

As a Staff Machine Learning Engineer, you'll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence product direction and user outcomes. You'll role model our values of Excellence and Curiosity by elevating technical standards, mentoring others, and continuously pushing the boundaries of what's possible with AI.

AI is central to how we evolve. In this role, you'll not only build advanced ML systems, but also shape how they are designed, scaled, and responsibly applied across teams - embedding best practices that enable long-term impact.

What You'll do

  • 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

About You

  • 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

$300,000 - $345,000 a year
For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.
 
Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.
26 Weeks Parental Leave: For both primary and secondary caregivers.
Family & Compassionate Leave: Inclusive of domestic violence recovery.
Unlimited Paid Time Off: Take the time you need.
Company-wide Week Off: Annual collective rest for the entire company.
Focus Fridays: No meetings, emails, or deadlines-just deep work.
About Us
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. 
 
AI Fluency
AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.
We encourage you to use AI responsibly as you prepare your application. Please don't use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.
 
Final Compensation
Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations.

Benefits & Perks
Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
Premium App Access

Inclusion at Bumble Inc. 
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
 
AI in Bumble Inc. Hiring 
At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly.
For further information on how we hold and manage your data, please refer to our Privacy Policy.
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