Senior Machine Learning Engineer

Blackpoint Holdings, LLC; Canada; Remote; USD 80,000 - 150,000; Full time

Job summary

An established industry player in cybersecurity is seeking a seasoned ML Engineer to lead the machine learning function within their A.I. business unit. This role involves building and optimizing machine learning solutions to enhance A.I. products and features, directly contributing to the mission of stopping cyber-attacks and protecting a growing customer base. The ideal candidate will have over five years of experience in ML Engineering, with a proven track record of delivering A.I. products into production. Join a dynamic team and help shape the future of cybersecurity technology while working in a collaborative and innovative environment.

Benefits

Health Insurance

Vision Insurance

Dental Insurance

Life Insurance

401k Plan

Discretionary Time Off

Qualifications

• 5+ years of hands-on experience in ML Engineering.
• Strong analytical and problem-solving abilities.
• Excellent communication skills for stakeholder collaboration.

Responsibilities

• Develop, optimize, and deploy ML models and infrastructure.
• Implement ML workflows as containerized Infrastructure as Code.
• Collaborate with cross-functional teams on A.I. architecture.

Skills

Machine Learning Engineering

Data-driven Decision Making

Analytical Skills

Communication Skills

Tools

AWS

SageMaker

Airflow

Kafka

Spark

MLFlow

KubeFlow

Docker

Kubernetes

Python

Bash

SQL

KSQL

GitFlow

Job description

Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.

What You’ll Do

Blackpoint Cyber is a provider of leading-edge cybersecurity threat hunting, detection, and response technology. We are looking for an experienced ML Engineer who will operate in a technical lead role for the machine learning function of our A.I. business unit. Candidates will directly support Blackpoint’s cyber security mission, helping to stop cyber-attacks, and protecting Blackpoint’s rapidly growing customer base.

Summary:

As ML Engineer, you will be responsible for building out Blackpoint Cyber’s machine learning solutions to support development of our A.I. products and features. You will report directly to the Head of Artificial Intelligence.

Who You Are:

Blackpoint Cyber is looking for someone who has:

1. 5+ years of experience in hands-on ML Engineering, with a track record of delivering A.I. products and services into production.
2. Experience building in the well-architected mindset—for efficiency, performance, security, and reliability.
3. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.
4. Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.

What You’ll Bring:

Experienced in:

1. Cloud-based ML Infrastructure (AWS)
2. Model Development & Deployment Operations (SageMaker, Airflow)
3. Inference Streams & Event-driven Processing (Kafka, Spark)
4. MLOps Workflows (Airflow, MLFlow, KubeFlow)
5. Pipeline Automation (A.I. CI/CD, Infrastructure as Code)
6. ML Governance (Data, Model, & Feature Versioning, Monitoring & Testing)
7. Containerized Services (Docker, Kubernetes)
8. Scripting Language (Python, Bash)
9. Query Language (SQL, KSQL)
10. GitFlow & DevOps Best Practices

Nice to Have:

1. Transformer Neural Nets
2. Agile Scrum
3. Programming (Scala, Java)
4. Experience in Cybersecurity, IoT, or NLP fields

How You’ll Make an Impact:

1. Develop, optimize, and deploy ML models.
2. Design, build, and administrate model building and serving infrastructure.
3. Implement ML workflows as containerized Infrastructure as Code.
4. Build & automate standardized container pipelines for training, feature engineering, and inference channels.
5. Conduct performance, load, and deployment testing of delivered ML solutions.
6. Develop ML governance utilities for oversight and administration of deployed infrastructure.
7. Implement data, feature, and model lifecycle best practices.
8. Contribute to A.I. architecture and design decisions.
9. Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber’s Security Operations Center (SOC), and our Adversary Pursuit Group (APG).

Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment. For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks.