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Remote Edge Ai Machine Learning Jobs in Austin, TX

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

This position is ideal for someone with deep expertise in speech AI, acoustic modeling, large-scale ... Optimize inference pipelines for edge, cloud, and low-latency streaming environments. * Research ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site +1

$165K - $191K/yr

... for modern AI, machine learning, and data-intensive applications. By combining open source ... the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing ...

GFiber

Senior Platform Engineer - AI

Austin, TX · Remote

... machine learning workflows. We are seeking a Senior AI Platform Engineer to lead the charge in ... In this high-impact role, you will bridge the gap between cutting-edge AI Architecture and scalable ...

Sensi.AI

Project & Operations Manager

Austin, TX · On-site +1

... edge cases * Feed product - insights and patterns from reviews are surfaced to the Product team to ... Experience in AI, machine learning, or HITL operations environments - reviewing model outputs ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

Ability to work independently in a remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related projects * Familiarity with software quality assurance methodologies or ...

BusPatrol

Director of Public Policy

Austin, TX · On-site +1

$225K - $250K/yr

As a leader in smart transportation, BusPatrol brings cutting-edge AI, machine learning and IoT safety tech solutions to school buses across North America. BusPatrol's technology has been deployed ...

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

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All JobsEdge Ai Machine Learning JobsRemote Edge Ai Machine Learning JobsRemote Edge Ai Machine Learning Jobs in Austin, TX

Remote Edge Ai Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote edge ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote edge ai machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Austin, TX? The most popular types of Edge Ai Machine Learning jobs in Austin, TX are:
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Remote Edge Ai Machine Learning jobs near you

Staff Machine Learning Engineer

ForeFlight

Austin, TX • On-site, Remote

$208K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations, strengthening our financial infrastructure, and driving operational excellence across the business. Our team combines deep domain expertise with a collaborative, high-performance culture to solve complex challenges and support continued growth.
Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows. This role focuses on developing vertical ASR models optimized for high-accuracy transcription in noisy, safety-critical environments, including aviation communications, cockpit interactions, operational dispatch, maintenance coordination, and related specialized audio domains.
You will work across the full ML lifecycle - data engineering, model training, evaluation, deployment, and optimization - to deliver production-grade speech intelligence capabilities integrated into ForeFlight and broader aviation platforms.
This position is ideal for someone with deep expertise in speech AI, acoustic modeling, large-scale transcription pipelines, and domain adaptation techniques for specialized vocabularies and constrained communication environments.
Key Responsibilities
  • Design, train, and optimize domain-specific ASR models for aviation and operational communications.
  • Develop verticalized speech models tuned for specialized terminology, accents, abbreviations, call signs, and noisy radio/audio conditions.
  • Build and maintain large-scale transcription and labeling pipelines for supervised and semi-supervised learning workflows.
  • Fine-tune foundation speech models (e.g., Whisper, wav2vec, Conformer, RNN-T, Citrinet, NeMo-based architectures) for aviation-specific use cases.
  • Improve transcription quality through language model adaptation, pronunciation lexicons, contextual biasing, and decoding optimization.
  • Develop evaluation frameworks and benchmarking methodologies using WER, CER, domain entity accuracy, latency, and robustness metrics.
  • Collaborate with product, avionics, data engineering, and platform teams to deploy scalable real-time and batch transcription systems.
  • Optimize inference pipelines for edge, cloud, and low-latency streaming environments.
  • Research emerging techniques in speech enhancement, diarization, speaker adaptation, multilingual ASR, and audio foundation models.
  • Ensure compliance with security, privacy, and operational reliability standards required in aviation environments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, Linguistics, or related field.
  • 3+ years of experience in speech recognition, audio ML, or applied machine learning.
  • Strong experience training and fine-tuning ASR models using frameworks such as PyTorch or TensorFlow.
  • Experience with modern ASR architectures including:

    • Transformer-based ASR
    • Conformer
    • RNN-T
    • CTC-based systems
    • Encoder-decoder speech models

  • Experience working with:

    • Speech/audio preprocessing
    • Forced alignment
    • Language model adaptation
    • Beam search decoding
    • Noise robustness techniques

  • Familiarity with NVIDIA NeMo, Kaldi, ESPnet, Hugging Face, Whisper, DeepSpeed, or equivalent ecosystems.
  • Strong Python engineering skills and experience building production ML systems.
  • Experience with cloud infrastructure and ML deployment workflows (AWS, Kubernetes, Docker, CI/CD).
  • Ability to work with large audio datasets and distributed training environments.

Preferred Qualifications
  • Experience building ASR systems for aviation, air traffic control, public safety, defense, or other mission-critical domains.
  • Familiarity with VHF/UHF radio communications and noisy-channel audio processing.
  • Experience with multilingual or code-switching ASR systems.
  • Background in speech enhancement, keyword spotting, diarization, or speaker verification.
  • Knowledge of LLM-assisted transcription correction and retrieval-augmented speech systems.
  • Experience optimizing models for real-time streaming inference.
  • Active pilot experience or familiarity with aviation operations is a plus.

Why Join Us
At Jeppesen ForeFlight, we know you want a rewarding career. To do that, you need challenging projects, a good work environment, and awesome coworkers. We believe in our employees, and we empower them to make a direct impact on our products and services. We strive to provide our employees with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits package includes but is not limited to the following:
  • Medical, dental, vision insurance with Employer paid health premiums
  • Open PTO Policy
  • 401(k) with up to 10% company matching and immediate vesting
  • 12 Weeks Paid Maternity Leave
  • 4 Weeks Paid Paternity Leave
  • Flight Training Rewards

Pay is based upon candidate experience and qualifications, as well market and business considerations: Summary Pay Range: $208,000-$255,000
Jeppesen ForeFlight - EOE including Disability/Vets | Pay Transparency | E-Verify Participant | Equal Opportunity Employer
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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