Censys

Senior Machine Learning Engineer

Ann Arbor, MI Los Altos, CA
USD 160k - 220k
Machine Learning PyTorch Kafka Streaming Kubernetes Python Go TensorFlow Spark AWS GCP Docker
Description

At Censys, our mission is to bring internet visibility and intelligence to the world’s security teams. Our platform not only identifies potential threats, but provides actionable insights and enables proactive defense strategies. Founded by researchers and practitioners, we are deeply committed to the quality, trustworthiness, and transparency of our data and results. As our own strongest critics, we continuously innovate to better understand the Internet and empower our customers with the visibility they need to succeed.

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. In this role, you will develop and maintain machine learning models that process large volumes of data, identifying patterns, anomalies, and trends that inform our customers about significant security events.

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.

Why Censys Sticks Out:

  • Humble Brilliance: We celebrate intelligence and foster a culture where tackling cybersecurity challenges is exciting and rewarding.
  • A Mosaic of Minds: Our diverse team brings together various talents and backgrounds, fostering true innovation through diverse perspectives.
  • Thinkers and Tinkerers: At Censys, we encourage questioning the status quo, experimenting, and pushing boundaries to drive breakthroughs.
  • Coffee-Fueled Collaboration: Collaboration is at the heart of our success, fueled by a shared passion for disrupting the cybersecurity scene.
  • Trailblazing Impact: Your innovations at Censys make waves in real-world cybersecurity, shaping the future and leaving a lasting legacy.
  • Life Beyond the Firewall: We prioritize work-life balance and support your well-being inside and outside the office.
  • Empowered Voices: Your voice matters at Censys; we champion an inclusive culture where diverse perspectives drive change.

What you'll do:

  • 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 terabytes of raw internet security data.
  • Drive projects focused on feature engineering, model performance optimization, and contextual analysis of security-related data.
  • Communicate key findings from data, enabling customers to better understand security threats and mitigate risks.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or other technical discipline (or equivalent professional experience).
  • 5+ years of experience in machine learning, NLP, or data science roles.
  • Strong proficiency in Python, Go, and machine learning libraries such as TensorFlow or PyTorch.
  • Experience with data processing frameworks like Kafka, Spark, and real-time data streaming technologies.
  • Deep understanding of model training, feature engineering, and performance optimization.
  • Experience working with cloud platforms (AWS, GCP, etc.) and containerization (Docker, Kubernetes).
  • Expertise in large-scale data analysis, with experience in anomaly detection and predictive modeling.
  • Ability to transform complex datasets into understandable, actionable insights for end-users.

Preferred Qualifications:

  • Experience working with security datasets or in the cybersecurity domain.
  • Familiarity with GCP VertexAI and Google BigQuery.
  • Proven ability to integrate machine learning models in SaaS products and customer-facing platforms.
  • Strong communication skills and ability to collaborate with technical and non-technical stakeholders.

 

Our target salary range for this role is between $160,000 USD and $220,000 USD + bonus eligibility 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 our careers page for more details.

Our roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, and Tysons, VA. Our innovation is fueled by the team’s global perspectives and diverse backgrounds. For this role, we are looking for candidates based in one of our four hub locations: Seattle, WA, Los Altos, CA, Tysons, VA, or Ann Arbor, MI.

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they feel they meet every qualification. At Censys we are dedicated to building a diverse, inclusive, and authentic workplace - so if you're excited about this role but your past experience doesn't align perfectly with every listed requirement in the job description, we encourage you to apply anyway. You may be exactly who we need to fill this role or others! 

We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal-opportunity employer. 

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Censys
Censys
Cyber Security Security

2 applies

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