Computer Scientist (preferably Level 2)

Veracity Engineering; Atlantic City (NJ); Hybrid; USD 82,000 - 118,000; Full time

Benefits offered by this job

Tuition reimbursement

Competitive health benefits package

401K matching

Job summary

Veracity Engineering is seeking a Computer Scientist to advance CASPER-based voice recognition and model pipelines in a FAA-influenced environment. The role emphasizes end-to-end data handling, model development, and rigorous validation of speech systems.

Candidates with ML/AI expertise and a strong background in PyTorch/TensorFlow and production-grade ML pipelines will thrive. Remote work may be allowed; on-site presence may be required per project needs.

Qualifications

• Master’s degree or Ph.D. in Computer Science or related field preferred.
• Preferred experience in artificial intelligence and machine learning.

Responsibilities

• Design, implement, and maintain a centralized repository for CASPER training data, validation data, transcriptions, and model outputs.
• Provide full-stack, DevOps-oriented development across the training and validation environment, including front-end data-management interfaces, back-end services, databases, and APIs.
• 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 mapping speech to CASPER targets.
• Maintain dataset, label, model, and command-schema versioning for alignment across CASPER updates.
• Curate training and held-out validation datasets across speakers and contexts.
• Automate end-to-end model training, replay, benchmarking, validation, and nightly regression testing.
• Measure word error rate, callsign/digit/command accuracy, latency, and release readiness.
• Explore alternative approaches to improve voice-recognition performance.

Skills

Speech recognition

Multilingual NLP

Dataset curation

Benchmarking

Hybrid architectures

NLP corrections

ETL pipelines

PyTorch

TensorFlow

Model governance

Anomaly detection

AI prototyping

Education

Master’s degree

PhD

Tools

Python

PySpark

Rust

Go

FastAPI

MLflow

ZenML

PyTorch

TensorFlow

Keras

Job description

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.

Job Title: Computer Scientist (Preferably Level 2)

Location: Atlantic City, New Jersey

Salary Range: $82,000-$118,000 per year

Remote Work: Remote work may be permitted when consistent with project needs. On-site presence will be required as dictated by FAA project needs.

Preferred Experience:

• 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.

Experience and Qualifications:

• Master’s degree or Ph.D. in Computer Science or a related field preferred.
• Preferred experience in artificial intelligence and machine learning.

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.

U.S. Eligibility Requirements (Standard for all U.S. Positions)

• 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

Veracity believes that all persons are entitled to equal employment opportunity and does not discriminate against nor favor any applicant because of race, sex, color, disability, national origin, religion, creed, age, marital status, veteran status, gender, gender identity/expression, actual or perceived sexual orientation, or any other protected characteristic. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Veracity will make reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant with a disability, unless the accommodation would impose an undue hardship on the operation of our business.