At Censys, we know the internet and cloud better than anyone else. Censys stands at the forefront of internet and cloud expertise, empowering customers through our Attack Surface Management solutions. We offer a unique attacker-centric perspective, providing a comprehensive view of external internet and cloud assets to prioritize and mitigate critical risk exposures effectively. Our daily IPv4 scans and the world's largest SSL/TLS Certificate database ensure customers have continuously updated attack surface insights. Enterprises rely on Censys to stay ahead of cyber threats and proactively safeguard against attacks, driving tangible impact in the digital landscape. Role Summary: Censys is looking for a Machine Learning Engineer to join our Data team to bootstrap our efforts in providing deep and contextual insights into our world-class Internet Map datasets. Censys conducts the most thorough and comprehensive scans of the public Internet, allowing our customers to see the ground truth of what services and devices are connected to the Internet. This role will help us deliver and maintain production-grade models used to deliver deep insights from our data and surface those directly to our customers. Why Censys Sticks Out: <ul><li>Humble Brilliance: We celebrate intelligence and foster a culture where tackling cybersecurity challenges is exciting and rewarding.</li><li>A Mosaic of Minds: Our diverse team brings together various talents and backgrounds, fostering true innovation through diverse perspectives.</li><li>Thinkers and Tinkerers: At Censys, we encourage questioning the status quo, experimenting, and pushing boundaries to drive breakthroughs.</li><li>Coffee-Fueled Collaboration: Collaboration is at the heart of our success, fueled by a shared passion for disrupting the cybersecurity scene.</li><li>Trailblazing Impact: Your innovations at Censys make waves in real-world cybersecurity, shaping the future and leaving a lasting legacy.</li><li>Life Beyond the Firewall: We prioritize work-life balance and support your well-being inside and outside the office.</li><li>Empowered Voices: Your voice matters at Censys; we champion an inclusive culture where diverse perspectives drive change.</li></ul> What you'll do: <ul><li>Work with the Data team and Data Science to deliver features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle</li><li>Build powerful and extensible methods that interact with our event-driven and real-time data pipelines, allowing for high throughput and resilient model serving.</li><li>Help build, design, and monitor production models for errors, drift, and non-compliance.</li><li>Work with our SRE team to build, deploy, and manage the necessary platform and cloud infrastructure to support the machine learning life-cycle.</li></ul> Qualifications: <ul><li>Bachelor's degree in Computer Science, Data Science, Engineering, or other technical discipline (or equivalent professional experience).</li><li>3+ years of experience working as a Machine Learning Engineer, MLOps Engineer, or Data Engineer.</li><li>Proficiency with building production-grade models using Machine Learning and Deep Learning frameworks (e.g., TensorFlow or PyTorch). Including experience with model training and drift detection.</li><li>Proficiency with backend software development (e.g., Python, Golang) with experience in service-oriented architectures based on Kubernetes, or similar.</li><li>Familiarity with or experience integrating into real-time, event-driven, and streaming data pipelines, preferably those built on Google Pub/Sub, Kafka, or similar.</li><li>Preferred familiarity GCP VertexAI cloud platform.</li><li>Preferred familiarity with Google BigQuery and its ecosystem.</li><li>Ability to concisely communicate complex subject matter to technical and non-technical audiences.</li></ul> Our target salary range for this role is between $134,000 USD and $181,000 USD + bonus eligibility and equity. Our roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, Washington D.C., and Dublin, Ireland. Our innovation is fueled by the team's global perspectives and diverse backgrounds. 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.

At Censys, we know the internet and cloud better than anyone else. Censys stands at the forefront of internet and cloud expertise, empowering customers through our Attack Surface Management solutions. We offer a unique attacker-centric perspective, providing a comprehensive view of external internet and cloud assets to prioritize and mitigate critical risk exposures effectively. Our daily IPv4 scans and the world's largest SSL/TLS Certificate database ensure customers have continuously updated attack surface insights. Enterprises rely on Censys to stay ahead of cyber threats and proactively safeguard against attacks, driving tangible impact in the digital landscape. Role Summary: Censys is looking for a Machine Learning Engineer to join our Data team to bootstrap our efforts in providing deep and contextual insights into our world-class Internet Map datasets. Censys conducts the most thorough and comprehensive scans of the public Internet, allowing our customers to see the ground truth of what services and devices are connected to the Internet. This role will help us deliver and maintain production-grade models used to deliver deep insights from our data and surface those directly to our customers. Why Censys Sticks Out: <ul> <li>Humble Brilliance: We celebrate intelligence and foster a culture where tackling cybersecurity challenges is exciting and rewarding. </li><li>A Mosaic of Minds: Our diverse team brings together various talents and backgrounds, fostering true innovation through diverse perspectives. </li><li>Thinkers and Tinkerers: At Censys, we encourage questioning the status quo, experimenting, and pushing boundaries to drive breakthroughs. </li><li>Coffee-Fueled Collaboration: Collaboration is at the heart of our success, fueled by a shared passion for disrupting the cybersecurity scene. </li><li>Trailblazing Impact: Your innovations at Censys make waves in real-world cybersecurity, shaping the future and leaving a lasting legacy. </li><li>Life Beyond the Firewall: We prioritize work-life balance and support your well-being inside and outside the office. </li><li>Empowered Voices: Your voice matters at Censys; we champion an inclusive culture where diverse perspectives drive change. </li></ul>What you'll do: <ul> <li>Work with the Data team and Data Science to deliver features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle </li><li>Build powerful and extensible methods that interact with our event-driven and real-time data pipelines, allowing for high throughput and resilient model serving. </li><li>Help build, design, and monitor production models for errors, drift, and non-compliance. </li><li>Work with our SRE team to build, deploy, and manage the necessary platform and cloud infrastructure to support the machine learning life-cycle. </li></ul>Qualifications: <ul> <li>Bachelor's degree in Computer Science, Data Science, Engineering, or other technical discipline (or equivalent professional experience). </li><li>3+ years of experience working as a Machine Learning Engineer, MLOps Engineer, or Data Engineer. </li><li>Proficiency with building production-grade models using Machine Learning and Deep Learning frameworks (e.g., TensorFlow or PyTorch). Including experience with model training and drift detection. </li><li>Proficiency with backend software development (e.g., Python, Golang) with experience in service-oriented architectures based on Kubernetes, or similar. </li><li>Familiarity with or experience integrating into real-time, event-driven, and streaming data pipelines, preferably those built on Google Pub/Sub, Kafka, or similar. </li><li>Preferred familiarity GCP VertexAI cloud platform. </li><li>Preferred familiarity with Google BigQuery and its ecosystem. </li><li>Ability to concisely communicate complex subject matter to technical and non-technical audiences. </li></ul> Our target salary range for this role is between $134,000 USD and $181,000 USD + bonus eligibility and equity. Our roots are in Ann Arbor, Michigan with location hubs in Seattle, the Bay Area, Washington D.C., and Dublin, Ireland. Our innovation is fueled by the team's global perspectives and diverse backgrounds. 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.

Machine Learning Engineer Jobs in Ann Arbor, MI

Gss Machine Learning Engineer E
July 13, 2024

Machine Learning Engineer
July 8, 2024

Gss Machine Learning Engineer E
July 6, 2024

Machine Learning Engineer
July 6, 2024

Senior Machine Learning Engineer
July 6, 2024

Machine Learning Engineer
July 1, 2024

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Machine Learning Engineer Jobs in Ann Arbor, MI

Gss Machine Learning Engineer EJuly 13, 2024

Machine Learning EngineerJuly 8, 2024

Gss Machine Learning Engineer EJuly 6, 2024

Machine Learning EngineerJuly 6, 2024

Senior Machine Learning EngineerJuly 6, 2024

Machine Learning EngineerJuly 1, 2024