AI Machine Learning Engineer 1-KR-7455

Onyx Point, Inc.; Hanover (MD); Remote; USD 78,000 - 250,000; Full time

Benefits offered by this job

Health Coverage (Medical, Dental, Vis

401(k) plan with company match

Generous PTO and holidays

Wellness programs

Tuition reimbursement

Flexible work arrangements

FSAs

Employee referral programs

Bonus opportunities

Technology allowance

Diverse, inclusive workplace

Job summary

Onyx Point, Inc. is seeking a senior AI/ML engineer to design, train, and deploy advanced AI models for classified data management programs. You will lead distributed teams, implement scalable ML pipelines, and communicate results to stakeholders.

The role requires an active TS/SCI with full-scope polygraph, strong problem-solving, and exceptional analytical skills. Flexible remote options and competitive compensation are included.

Qualifications

• Active TS/SCI with current Polygraph required.
• Two years of experience in applied ML in programs and contracts of similar scope, type, and complexity.
• Bachelor's Degree in advanced math, CS, or related STEM discipline from an accredited college or university.
• Three years of additional ML experience may substitute for a bachelor’s degree.

Responsibilities

• Design, create, test, and productize AI/ML algorithms to solve business challenges.
• Lead geographically diverse teams and act as primary POC for AI-related matters.
• Train, deploy, monitor, and improve models based on feedback for scalable, high-performance solutions.

Skills

Python

Java

C++

R

Generative AI

Jupyter notebooks

PyTorch

TensorFlow

AWS Bedrock

RAG

Education

Bachelor's Degree in Advanced Math or CS

Tools

Jupyter notebooks

AWS Bedrock

Job description

TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)

Project Description:

The team supports a suite of web-based applications that automate data management for IC data custodians. The products facilitate the capture of information and approvals that allow for the movement of data through the customer mission space in a compliant manner. These products are critical to standardize and simplify data movement as well as data reuse and integration with downstream tools.

Job Description:

Design, create, test, and productize Al/ML algorithms to solve business challenges. The Al/ML models created should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Proficient in all aspects of model architecture, data pipeline interaction, metrics application, interpretation, and presentation. Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance. Responsible for leading geographically diverse teams and will often serve as a primary POC for Al-related matters, so must have exceptional analytical, problem-solving and communication skills.

Highly Desired Skills:

• Expert knowledge of multiple programming languages (Python, Java, C++, R)
• Jupyter notebooks
• PyTorch or TensorFlow
• Generative AI use (ChatGPT, Claude, Gemini, etc.)
• Agent Orchestration, RAG (Retrieval-Augmented Generation)
• AWS Bedrock

Basic Requirements:

• Active TS/SCI with current Polygraph required
• Two (2) years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required
• Bachelor's Degree in advanced math (e.g., Calculus, Linear Algebra or Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university is required.
• Three (3) years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Compensation:

We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.

Benefits:

• Health Coverage: Medical, dental, and vision insurance
• Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
• Retirement Plan: 401(k) plan with company match
• Paid Time Off: Generous PTO, paid holidays, parental leave, and more
• Wellness: Access to wellness programs and mental health support
• Professional Development: Opportunities for growth, including tuition reimbursement

Additional Perks:

• Flexible work arrangements, including remote work options
• Flexible Spending Accounts (FSAs)
• Employee referral programs
• Bonus opportunities
• Technology allowance
• A diverse, inclusive, and supportive workplace culture