Senior Machine Learning Engineer

Censys; Kirkland (WA); Remote; USD 182,000 - 228,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Engineer to enhance security insights from vast datasets. In this dynamic role, you will build and optimize a robust MLOps platform, ensuring high-throughput predictions. Collaborating with a creative team, you will design scalable systems that empower decision-making through actionable insights. This position offers the flexibility of remote work or access to various office locations, along with a competitive salary and an attractive benefits package, including health and retirement plans. Join us in shaping the future of internet security!

Benefits

401k match

Health insurance

Vision insurance

Dental insurance

Equity eligibility

Flexible work environment

Qualifications

• 3+ years of experience in Docker, Kubernetes, and Helm.
• Strong proficiency in Python and machine learning libraries like PyTorch.

Responsibilities

• Deploy and maintain containerized workloads for machine learning.
• Collaborate with teams to design data pipelines for petabyte-scale data.

Skills

Python

Docker

Kubernetes

MLOps

Machine Learning Libraries (PyTorch, Transformers)

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Engineering

Tools

Helm

Metaflow

MLflow

Argo Workflows

Grafana

Prometheus

Job description

Location

This position can beremote within the United States, but employees have the option to work from any of our office locations: Ann Arbor, MI; Los Altos, CA; Seattle, WA; or Tysons, VA.

Role Summary

Censys is looking for a Senior Machine Learning Engineer to join our team and help us derive valuable insights from internet security datasets. This role is responsible for building and maintaining a robust internal Machine Learning Operations (MLOps) platform capable of handling petabyte-scale data and delivering high-throughput, low-latency predictions. You will engineer and optimize this platform to support a diverse range of machine learning applications, including computer vision, natural language processing, and reinforcement learning, ensuring seamless deployment and scalability

We’re a highly collaborative, creative team dedicated to empowering customers with innovative solutions to improve their security posture. You’ll work closely with data scientists, engineers, and product teams to build scalable systems that enhance how customers interact with and understand our data. You will design machine learning systems that not only process and analyze data but also bring critical insights to the surface in a way that empowers decision-making.

What You’ll Do

• Deploy and maintain containerized workloads to support machine learning development, deployment, and post-deployment monitoring.
• Utilize tools like Helm and Kustomize to accelerate the deployment of machine learning models and data pipelines.
• Apply various optimization techniques such as compilation, quantization-aware training (QAT), and pruning to improve the latency and throughput of models.
• Utilize open-source software like Metaflow, Prefect, Temporal, and Argo Workflows to facilitate data science development.
• Build and optimize machine learning models to analyze security data, extract actionable insights, and identify trends, anomalies, and other relevant security signals.
• Develop and maintain systems for drift detection and model monitoring to ensure continuous improvement and accuracy of insights.
• Collaborate with cross-functional teams to design data pipelines that can efficiently process petabytes of raw internet security data.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or other technical discipline (or equivalent professional experience).
• 3+ years of experience in Docker, Kubernetes, and Helm.
• Strong proficiency in Python and machine learning libraries like PyTorch, Transformers, and Timm.
• Proficiency in MLOps tooling like Metaflow, MLflow, Argo Workflows, Torchrun, and Ray.
• Experience working with cloud platforms like AWS, GCP, and Azure.

Preferred Qualifications

• Experience working in the cybersecurity domain.
• Strong communication skills, including the ability to collaborate with both technical and non-technical stakeholders.
• Experience with DevOps tooling like Grafana and Prometheus.
• Proficiency in Golang and Protocol Buffers.

Our target salary range for this role is between $182,400 and $228,000 USD + bonuseligibility and equity.

In addition to our great compensation package, our benefits are effective on day one and include but are not limited to: 401k match, health, vision, dental, and more! Please see ourcareers pagefor more details.

Our innovation is fueled by the team’s global perspectives.We are open to remote employees for this role; however, we offer four hub locations that employees are welcome to use: Seattle, WA; Los Altos, CA; Tysons, VA; or Ann Arbor, MI.

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