Senior Machine Learning Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Create solutions by leveraging data analysis and threat research, AI, machine learning, and data engineering to automate the process of security analysis.

• Convert risk identification techniques into agent logic for comprehensive risk analysis, including explanations and recommendations.

• Work collaboratively with threat-research teams to gain insights into data, threats, and security heuristics.

• Determine and address data requirements necessary for effective analysis.

• Partner with data engineering teams to develop pipelines, enrichments, and aggregations.

• Utilize data-driven quality methodologies for threat detection, encompassing backtesting, precision/recall balancing, tuning, and quality control measures.

• Implement and oversee solutions in a production environment using a CI/CD framework.

⛳️ Requirements

• Proven experience in building LLM-powered agents in a production setting, which includes tool and function calling, prompt and context engineering, and multi-step orchestration frameworks such as LangGraph or LangChain, as well as evaluating non-deterministic outputs against ground truth.

• A minimum of 3 years of professional experience in Python development.

• Capability to design and sustain production-quality systems featuring validated inputs, data contracts, comprehensive unit tests, and integration tests.

• Proficient hands-on experience with SQL and Python data analytics libraries, including pandas, Polars, and NumPy.

• Experience ensuring production reliability with CI/CD, containerization, structured logging and metrics, observability and alerting, on-call participation, and incident debugging in distributed systems.

• Knowledge of cloud services and infrastructure-as-code within an AWS environment.

• Senior-level accountability and leadership in project management, development, and testing.

• Preferred: experience with production AI or ML systems focusing on cost, latency, accuracy, model selection, routing, and regression testing.

• Preferred: background in cyber threat research, threat modeling, threat hunting, detection engineering, data-driven risk analysis, fraud detection, adversary profiling and targeting, actuarial risk, or related collaboration.

• Preferred: data engineering experience with large-volume event-data pipelines, SQL, OpenSearch/Elasticsearch, Athena/Presto or similar technologies, schema evolution, backfills, and data quality validation.

🏝️ Benefits

• A variety of health plans.

• Time-off plans for vacations and sick leave.

• Options for parental leave.

• Retirement plan options.

• Education reimbursement programs.

• In-office perks.

• Inclusive benefits for employees and their families.

• Reasonable support and accommodations during the recruitment process.