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Meta Software Engineer Jobs in Austin, TX (NOW HIRING)

... and software engineering. You will be working with our engineering and product teams to design ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

This role carries a dotted-line relationship to ICON's Engineering & Software Development team ... meta tags, canonical URLs, redirects, and site architecture improvements. Analytics, Tracking ...

This role carries a dotted-line relationship to ICON's Engineering & Software Development team ... meta tags, canonical URLs, redirects, and site architecture improvements. Analytics, Tracking ...

Corp. VP Customer Engineering DCGPU

Austin, TX · On-site

$178K - $229K/yr

THE PERSON: * Prior experience at a hyperscaler (AWS, Azure, Google, Meta, Oracle) or AI ... software to system. * Control Tower Operations Operate within the Helios Customer Control Tower ...

New

Solutions Engineer, US

Austin, TX · On-site

$120 - $180/hr

... Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant ... software. You'd be early, close to the founders and the model, and given real ownership from day ...

... Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant ... Roughly 3+ years building and shipping software in production. * Genuine customer obsession: A real ...

... Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant ... software. You'd be early, close to the founders and the model, and given real ownership from day ...

... Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant ... software developers. * Create sales collateral including one-pagers, pitch decks, and messaging ...

Showing results 41-60

Meta Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.6K

How much do meta software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for meta 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 is a Meta software engineer?

A Meta Software Engineer is responsible for designing, developing, and optimizing software products and infrastructure that support Meta's applications and services. They work on large-scale systems, collaborating with cross-functional teams to build innovative solutions in areas such as AI, virtual reality, and social networking. The role requires strong coding skills, problem-solving abilities, and expertise in languages like Python, Java, or C++.

What skills and qualifications are needed to be a Meta software engineer?

To thrive as a Meta Software Engineer, you need strong programming skills in languages such as Python, C++, or Java, a deep understanding of computer science fundamentals, and typically a bachelor's degree in computer science or a related field. Experience with large-scale distributed systems, cloud computing platforms, and familiarity with development tools like Git and debugging frameworks are essential; certifications in cloud services or specialized technologies can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers. These capabilities enable engineers to build high-quality, scalable products and seamlessly integrate within fast-paced, innovative technical teams.

What challenges do Meta software engineers face and how are they supported?

Meta Software Engineers often work on complex, large-scale systems that serve billions of users, presenting challenges such as optimizing performance, ensuring data privacy, and maintaining reliable uptime. The fast-paced environment requires engineers to stay current with rapidly evolving technologies and to frequently solve unique, open-ended problems. Meta provides robust support through collaborative teams, ongoing training, mentorship programs, and access to extensive internal knowledge resources. This environment helps engineers quickly ramp up, continuously improve their skills, and overcome technical and organizational hurdles efficiently.

Is it hard to get a software engineer job at Meta?

Securing a software engineer position at Meta is competitive, often requiring strong technical skills, relevant experience, and proficiency in programming languages like Python or C++. Candidates typically go through multiple interview rounds assessing coding, system design, and problem-solving abilities. Having a solid portfolio, relevant internships, and knowledge of tools like React or GraphQL can improve chances.

What cities near Austin, TX are hiring for Meta Software Engineer jobs?

Cities near Austin, TX with the most Meta Software Engineer job openings:

Infographic showing various Meta Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $146,192 per year, or $70.3 per hour.

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site

$210 - $260/hr

Other

Re-posted 23 days ago


Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments
  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN
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