Job Specifications
PHC Global was founded in 2020 by Dr. Charity Dean with the mission to build a commercial-grade global biosecurity intelligence platform operating across commercial, defense, and civilian enterprises. This effort was born from the recognition that technological advancements in machine learning and artificial intelligence could generate this entirely new capability at speed and scale to detect major global biorisks such as new disease outbreaks and bioterrorism threats.
PHC Global's software platform provides anticipatory and predictive intelligence of global biorisks through its proprietary data, AI/ML tools, and unparalleled public health expertise, effectively replacing a significant amount of human vigilance and manual data gathering in order to give organizations easy-to-understand, actionable recommendations.
PHC's world-class team includes experts in technology, machine learning, epidemiology, and global security. We are a tight-knit team passionately committed to making the world safer from biological risks and face challenges with our core values of humility, optimism, and integrity.
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 cluster
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,