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Machine Learning Engineer New Grad 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 ...

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

$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 · 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 ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX · On-site

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ... Ability to quickly absorb new concepts from research papers, technical reports, and documentation.

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 ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ... Ability to quickly absorb new concepts from research papers, technical reports, and documentation.

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 ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX

$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 JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Austin, TX

Machine Learning Engineer New Grad information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning engineer new grad 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 Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Austin, TX? For Machine Learning Engineer New Grad jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Austin, TX look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Austin, TX with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Austin, TX as of June 2026, with employment types broken down into 9% As Needed, 55% Full Time, and 36% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Bumble Inc.

Austin, TX • On-site

Full-time

Posted 9 days 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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