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Machine Learning Technical Lead Jobs in Austin, TX

Avride

Machine Learning Engineer

Austin, TX · On-site

... align technical work with business objectives and drive results. Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. • Experience developing ML ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

There is no part of the technical design that cannot change. Learnings from your work will directly ... Lead the team by performing at a high standard, setting the bar for how we build and operate our ...

Neuralink

Machine Learning Engineer

Austin, TX

There is no part of the technical design that cannot change. Learnings from your work will directly ... Lead the team by performing at a high standard, setting the bar for how we build and operate our ...

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All JobsMachine Learning Technical Lead JobsMachine Learning Technical Lead Jobs in Austin, TX

Machine Learning Technical Lead information

See Austin, TX salary details

$29.7K

$155K

$204.2K

How much do machine learning technical lead jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning technical lead in Austin, TX is $154,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $203,200.00 per year, depending on experience, location, and employer.

Finance Machine Learning Engineer - Tech Lead

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$101K - $133K/yr

Full-time

Re-posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As a machine learning engineer in Finance, you’ll play an integral role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple’s Finance organization.
Description
This role will be the technical lead for product cost, supporting our Operations Finance organization. You will work as part of a multi-discipline engineering pod with data and software engineers, product managers and program managers. Your ability to learn business processes and instill strong engineering practices into team machine learning processes will be critical. A key part of your role will be to operationalize AI solutions, bridging the gap between prototype and production to rapidly and reliably deliver value to the Finance organization.","responsibilities":"Technical lead overseeing solution design and engineers
Partner with teammates and share expertise across teams
Explain technical concepts to non-technical audiences
Collaborate effectively with cross-functional teams
Operationalize AI solutions, bridging the gap between prototype and production
Instill strong engineering practices into team machine learning processes
Rapidly and reliably deliver value to the Finance organization
Preferred Qualifications
Previous experience working in a corporate finance, accounting, or supply chain organization
Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
Minimum Qualifications
At least 8 years experience in an engineering role
At least one year experience effectively leading engineers and collaborating cross-functionally, translating technical concepts for diverse audiences and converting ideas into solutions with strong process and data understanding
Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
Experience developing in Python while following and advocating for DRY principles, modularity, testing standards, version control, and code reviews. Experience with front end (.js experience)
Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and familiarity working with cloud platforms (AWS, GCP, Azure)
Graduate degree (computer science, data science, math, quantitative finance, or similar discipline)
Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline)

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

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