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Director Machine Learning Jobs in Texas (NOW HIRING)

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 ... We believe in our employees, and we empower them to make a direct impact on our products and ...

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How much do director machine learning jobs pay per year?

As of Jul 2, 2026, the average yearly pay for director machine learning in Texas is $85,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

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Director Machine Learning jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

ForeFlight

Austin, TX • On-site, Remote

$208K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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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