Senior AI/ML Solutions Engineer

About the role

We are seeking a visionary, inventive Artificial Intelligence / Machine Learning (AI/ML) Engineer to design, build, test, and productize advanced models that solve high‑stakes challenges. You will oversee the complete lifecycle: architecting data pipelines, selecting optimal representations, running statistical analyses, and continuously refining models through iterative feedback and retraining loops. As a technical leader and primary subject matter expert, you will guide test and evaluation protocols, evaluate data distribution shifts, and ensure our AI systems deliver accurate, mission‑critical predictions at scale.

Responsibilities

• Design, build, test, and productize advanced AI/ML models.
• Architect data pipelines and select optimal data representations.
• Run statistical analyses and detect data distribution shifts.
• Continuously refine models via iterative feedback and retraining loops.
• Guide test and evaluation protocols for AI systems.
• Ensure AI solutions deliver accurate, mission‑critical predictions at scale.

Requirements

• Active TS/SCI security clearance with polygraph.
• Applied Machine Learning: demonstrated experience selecting, training, evaluating, and productizing AI/ML models using standard frameworks (e.g., PyTorch, TensorFlow) and ML libraries.
• Model Lifecycle & MLOps: hands‑on experience in pipeline interaction, data modeling, feature selection, model verification/validation, monitoring, and iterative retraining based on feedback loops.
• Data Engineering & Statistical Analysis: strong capabilities in statistical analysis, detecting data distribution shifts, and converting raw datasets into effective data representations for ML algorithms.
• Prototype‑to‑Production Engineering: proven ability to transform experimental data science prototypes into scalable, performant production systems with proper system integration oversight.
• Software Foundations & Test Protocols: sound understanding of application development concepts, data structures, software architecture, and running standard test/evaluation protocols.
• Communication & Technical Leadership: excellent analytical, problem‑solving, and presentation skills to serve as a primary POC for AI initiatives and guide cross‑functional teams.

Qualifications

Education: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 17+ years of professional software engineering experience OR Master's Degree PLUS 10+ years of professional software engineering experience OR High School Diploma / GED, PLUS 22+ years of hands‑on technical software development experience in lieu of a degree.

Skills

Required Skills:

• Applied Machine Learning (PyTorch, TensorFlow, etc.)
• Model Lifecycle & MLOps
• Data Engineering & Statistical Analysis
• Prototype‑to‑Production Engineering
• Software Foundations & Test Protocols
• Communication & Technical Leadership

Desired Skills:

• Multi‑Language Mastery (Python, Java, C, C++, R)
• Advanced MLOps & Infrastructure (cloud‑based AI deployments, automated model scheduling, data governance, CI/CD pipelines)
• Distributed Team Leadership (leading geographically dispersed engineering teams)

Benefits

• Nyla FLEX program: customize pay, leave, and schedule to fit your lifestyle.
• Pay: 4 weeks of annual leave + 11 holidays + additional day of annual leave per year of service; option to cash out leave, opt out of other benefits, or work extra hours (over 40 hrs/week) with potential to earn 1.3× hourly rate after 1880 contract hours.
• Leave: ability to buy additional annual leave for up to 6 weeks (240 hours) plus 11 holidays.
• Schedule: freedom to scale down to a 30‑32 hour workweek while retaining full benefits.
• Health care (medical, dental, vision) 100% company‑paid.
• 10% 401k matching with full vesting day 1.
• Professional Development: $5,000 per year for fees, tuition, or time off.
• Student loan repayment program.
• 8 hours of volunteering annually.

Pay

The annual base salary range is $216,000‑$255,000 (USD) base salary, not including discretionary bonus compensation or the comprehensive benefits package. Actual compensation offered may vary based on geographic location, work experience, education, and/or skill level.

Schedule

Through the Nyla FLEX program you can adjust your workweek to a 30‑32 hour schedule while maintaining full benefits, or tailor your hours to suit your lifestyle.