Computer Scientist (preferably Level 2)

• End-to-end neural speech-recognition systems using wav2vec 2.0, Whisper, and Deep Speech 2-style acoustic models.
• Sequence-to-sequence and speech models for multilingual and domain-specific applications.
• Experience with curating real and synthetic datasets for training, validation, and model comparison.
• Building datasets for repeatable benchmarking and regression testing.
• Designing benchmark suites measuring model accuracy, inference latency, package size, and release readiness.
• Designing hybrid recognition architectures that combine local processing with remote API calls.
• Applying language models and NLP techniques to correct likely recognition errors and improve contextual interpretation.
• Building scalable ETL and data-enrichment pipelines using, for example, Python, PySpark, Rust, Go, and FastAPI.
• Developing production ML systems using PyTorch, TensorFlow, Keras, MLflow, ZenML, and related tools.
• Implementing artifact validation, deployment controls, and AI governance for production model releases.
• Applying anomaly detection, statistical modeling, and error analysis to identify operationally significant model failures.
• Rapid AI prototyping and translating research models into reliable, production-grade software pipelines.

CASPER Duties:

• Design, implement, and maintain a centralized repository for CASPER training data, validation data, transcriptions, command labels, model outputs, and evaluation results.
• Provide full-stack, DevOps-oriented development across the training and validation environment, including front-end data-management interfaces, back-end services and APIs, databases, processing infrastructure, automated builds, deployment, monitoring, and operational support.
• Develop an aviation-specific model harness for LLM API integration.
• Develop and train custom language models for simulated pilot speech and behaviors.
• Build scalable ETL, labeling, and data-enrichment pipelines that map recorded and synthetic speech to CASPER commands, callsigns, fixes, digits, and other recognition targets.
• Maintain dataset, label, model, and command-schema versioning so training and evaluation data remain aligned as CASPER capabilities and phraseology mappings change.
• Curate representative training and held-out validation datasets covering different speakers, phraseology, audio conditions, callsign types, commands, and operational contexts.
• Automate end-to-end model training, replay, benchmarking, validation, and nightly or per-build regression testing of the CASPER recognizer and parser.
• Measure and report word error rate, callsign accuracy, digit accuracy, command and intent accuracy, precision and recall, latency, regressions, and release readiness.
• Use exploratory, hypothesis-driven, and experiment-based methods to identify, prototype, and evaluate alternative approaches for improving voice-recognition performance.
• Design controlled experiments and ablation studies comparing acoustic models, language models, contextual sources, preprocessing methods, confidence thresholds, and recognition-pipeline configurations.
• Develop, fine-tune, and evaluate ATC-specific speech-recognition models, including wav2vec 2.0, Whisper, Deep Speech 2-style models, sequence-to-sequence models, and other promising architectures.

• Master’s degree or Ph.D. in Computer Science or a related field preferred.
• Preferred experience in artificial intelligence and machine learning., * Must be 18 years of age or older.
• Must be willing to submit to a background investigation; any offer of employment is conditioned upon the successful completion of a background investigation.
• Must have unrestricted work authorization to work in the U.S. For U.S. employment opportunities, Veracity hires U.S. citizens, permanent residents, asylees, refugees, and temporary residents. Temporary residence does not include those with non-immigrant work authorization (F, J, H, or L visas), such as students in practical training status. Exceptions to these requirements will be determined based on the shortage of qualified candidates with a particular skill. Veracity will require proof of work authorization.
• Must be willing to execute Veracity’s Confidentiality and Non-Disclosure Agreement which requires, among other things, post-employment obligations relating to non-solicitation, confidentiality, and non-disclosure

4.6 Atlantic City, NJ $82,000 - $118,000 a year, Pulled from the full job description Tuition reimbursement Health insurance 401(k) matching Paid time off, At Veracity, we want our employees to excel and grow professionally. With an emphasis on continuing education, we demonstrate our commitment to employee growth and development by providing tuition reimbursement for education and certifications. In addition to tuition reimbursement, we offer one of the best benefits packages in the industry: competitive health benefits package, paid time off, 401K matching, and vested from day one to name just a few of our benefits and perks.

Veracity Engineering is an industry leader in aviation engineering and management consulting. We apply proven principles and innovative approaches to solve tomorrow’s problems today. Since 2001, Veracity’s staff of experienced, passionate and creative professionals has provided our government and commercial clients with innovative solutions to modernize air traffic systems and advance global initiatives in safety, efficiency, and capacity.