Senior Machine Learning Engineer
About this role
The AI Platform and Data Science team builds high-fidelity risk identification systems to detect threats while minimizing noise in customer data for the Zero Trust Exchange platform. A Senior Machine Learning Engineer on this team develops solutions by applying data analysis, threat research, AI, machine learning, and data engineering to automate security analysis and translate risk identification methods into agent logic. The role exists to support the company's mission of building an AI-native enterprise that solves complex security challenges through machine intelligence. An ideal candidate is comfortable navigating ambiguity, acts like an owner, possesses a growth mindset, and relies on empirical evidence to make data-driven decisions.
What you will do
- Translate risk identification methods into agent logic while ensuring quality across risk analysis, explanations, and recommendations.
- Collaborate with threat-research teams to understand data, threats, and security heuristics.
- Identify and solve data requirements by partnering with data engineering on pipelines, enrichments, and aggregations.
- Apply a data-driven quality approach to threat detection involving backtesting, precision and recall balancing, and tuning.
- Deploy and monitor machine learning solutions in production using the company CI/CD framework.
What you need
- Experience building LLM-powered agents in production with tool and function calling, prompt engineering, multi-step orchestration frameworks, and evaluation against ground truth.
- Three or more years of professional Python development experience with production-quality systems, data contracts, and unit tests.
- Hands-on expertise with SQL and Python data analytics libraries such as pandas, Polars, and NumPy.
- Demonstrated ownership of production reliability including CI/CD, containerization, observability, alerting, and on-call participation.
- Familiarity with cloud and infrastructure-as-code in an AWS environment alongside senior-level project leadership.
Nice to have
- Experience with production AI or ML systems balancing cost, latency, and accuracy constraints
- Background in cyber threat research, threat modeling, detection engineering, or fraud detection
- Data engineering experience with large-volume event data pipelines and columnar or search-backed stores
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
Skills and tech stack
Questions candidates ask
Is this a remote position?
Yes, this is a remote role based in the USA, reporting to the Manager AI Platform and Data Science. The position operates within the AI Platform and Data Science department.
What is the salary range for this role?
The base salary range for this full-time position is $115,500 to $165,000 USD. Actual pay may vary based on job-related skills, experience, and relevant education or training.
What technologies and tools will I use?
You will work with Python, SQL, data analytics libraries like pandas and NumPy, LLM orchestration frameworks such as LangChain and LangGraph, and cloud infrastructure in AWS.
What does the team actually build?
The team builds high-fidelity risk identification solutions for customer data. Their primary goal is to catch all threats while minimizing noise by automating security analysis.