ZipRecruiter

Log In

2

Flex Remote E Learning Developer Jobs in Austin, TX

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. * PhD or Master's in Computer ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Experience working with DevOps to enable your team access to the tools they need * Contributing to ... i.e. ETL, data integrity, and monitoring * Demonstrable proficiency with Python, dbt, SQL, 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 ... Fine-tune foundation speech models (e.g., Whisper, wav2vec, Conformer, RNN-T, Citrinet, NeMo-based ...

Liveops

Remote Customer Service Representative

Kyle, TX · Remote

$20/hr

Remote (US-Based) Apply today to join the 1/5/26 certification class and lock in your spot for tax ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

Liveops

Remote Customer Service Representative

Austin, TX · Remote

$20/hr

Remote (US-Based) Apply today to join the 1/5/26 certification class and lock in your spot for tax ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

next page

Showing results 1-20

All JobsE Learning Developer JobsFlex Remote E Learning Developer JobsFlex Remote E Learning Developer Jobs in Austin, TX

Flex Remote E Learning Developer information

See Austin, TX salary details

$10.9K

$83.1K

$138.8K

How much do flex remote e learning developer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for flex remote e learning developer in Austin, TX is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $137,800.00 per year, depending on experience, location, and employer.

What is the difference between Flex Remote E Learning Developer vs Flex Remote Instructional Designer?

AspectFlex Remote E Learning DeveloperFlex Remote Instructional Designer
Required CredentialsBachelor's in Education, Instructional Design, or related field; familiarity with e-learning toolsBachelor's or Master's in Education, Instructional Design, or related field; expertise in curriculum development
Work EnvironmentRemote, project-based, often collaborating with subject matter expertsRemote, focusing on designing and developing instructional materials and courses
Employer & Industry UsageEducational institutions, corporate training, e-learning companiesEducational institutions, corporate training, e-learning platforms

While both roles involve creating online learning content remotely, the Flex Remote E Learning Developer primarily focuses on developing and coding e-learning modules, whereas the Flex Remote Instructional Designer emphasizes designing curriculum and instructional strategies. Both roles require similar credentials and often work in the same industries, but their core responsibilities differ in content creation versus instructional planning.

What are popular job titles related to Flex Remote E Learning Developer jobs in Austin, TX? For Flex Remote E Learning Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Flex Remote E Learning Developer jobs in Austin, TX look for? The top searched job categories for Flex Remote E Learning Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Flex Remote E Learning Developer jobs? Cities near Austin, TX with the most Flex Remote E Learning Developer job openings:
Flex Remote E Learning Developer jobs near you
Infographic showing various Flex Remote E Learning Developer job openings in Austin, TX as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $83,148 per year, or $40 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site, Remote

$335K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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 productionize 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.

Responsibilities

  • 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

Requirements

  • 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

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

Apply