Job Title: Senior AI Engineer
Location: Remote
Type: Full-Time

Summary statement

We are seeking a Senior Machine Learning Engineer who loves solving complex challenges and
making a difference. You’ll join a diverse team of epidemiologists, engineers, data scientists,
front-line disease controllers, and national security practitioners. We are deploying technology to
deliver biothreat intelligence to more rapidly detect, characterize, and attribute emerging
biological threats, including naturally occurring and biologically engineered threats.

You’ll own the vision for expanding our AI capabilities, refine our AI architecture, and develop
forecasting and anomaly-detection models that directly inform critical health and defense
decisions. We value bias toward action, collaboration, continuous learning, empathy, and
making a real-world impact.

Responsibilities

• Develop and refine approaches to anomaly detection, correlation, forecasting, and
  modeling/simulation for biological threats
• Explore both traditional and novel techniques to reveal hidden patterns, potentially with
  some of the following techniques:
  • Use statistical models like ARIMA and Prophet to establish clear baselines for
    trend and seasonality
  • Experiment with deep learning models like LSTMs or TCNs to pick up on subtle
    changes in time series data
  • Detect anomalies that could indicate emerging disease clusters
  • Quantify uncertainty so our partners can make confident, risk-aware decisions
• Develop RAG and Agentic AI systems for Biological Threat Detection
  • Fine-tune, test, and deploy large language models (LLMs)
  • Design and implement retrieval-augmented generation (RAG) pipelines for
    domain-specific applications
  • Design and implement agentic AI systems to flexibly orchestrate threat-specific
    AI/ML tool chains
  • Optimize prompts and perform context engineering to improve model accuracy
    and performance
  • Use evaluation frameworks to benchmark model accuracy and performance
• Build pipelines to ingest, clean, and validate structured and unstructured data sources
  (sequencing files, sensor feeds, lab reports, case and hospitalization data), ensuring
  high-quality inputs for models
• Containerize models and services with Docker and Kubernetes, automate deployment,
  and monitor model performance
• Collaborate with Epidemiologists to build domain specific LLM prompts
• Work directly with customers to understand their problem space, deploy AI/ML tools, and
  iterate with them to ensure their mission needs are met
• Expect to interact with customers to provide engineering solutions with potential travel to
  on-site interactions with the customer

Experience & Qualifications

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or related field
• 3+ years building, working with, and shipping ML models in production
• 5+ years general software development experience
• Strong understanding and experience in data modeling, algorithms, and data
  transformation techniques
• Strong Python skills
• Solid foundation in statistics, probability, and time-series analysis
• Experience with relational and vector databases
• Familiarity with AWS and/or GCP
• Comfortable with Docker, Kubernetes, Git, CI/CD pipelines, and RESTful APIs
• Experience with RAG architecture and LLM integrations
• Curious, proactive, and collaborative
• Excellent communicator, able to explain technical concepts to diverse audiences
• Willingness to embrace moving fast, being insatiably curious, embracing uncertainty and
  having a personal desire to improve other peoples’ lives
• Security clearance-eligible

WHO WE ARE

The team supports remote-first employment and candidates from anywhere in the US are
welcome to apply. PHC Global is an equal opportunity employer, drug-free workplace, and
complies with ADA regulations as applicable. All applicants are considered for all positions
without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national
origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic
information, marital status, ethnicity, alienage or any other protected classification, in
accordance with applicable federal, state, and local laws.

COMPENSATION AND BENEFITS
Total compensation includes salary and stock option grants. The salary range for this position is
between $170,000 and $220,000 and individual pay is determined by job-related skills,
experience, and relevant education or training. PHC offers a comprehensive benefits package
including medical, dental and vision insurance, wellbeing offerings, 401K, unlimited PTO, paid
holidays, and a work from home stipend. PHC covers 100% of medical premiums for employees
and 50% of medical premiums for dependents.