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Senior Machine Learning EngineerSenior Machine Learning Engineer
Censys
United States, Northern America (country)
$182k - $228k
DevOps
Data science
ML Engineer
Computer Vision
Python
PyTorch
Reinforcement Learning
Docker
Kubernetes
Helm
Golang
Cloud
AWS
GCP
Azure
Open Source
Grafana
Prometheus
Posted 13 hours ago
Lead Software Engineer - AI Data SystemsLead Software Engineer - AI Data Systems
Upwork
United States, Northern America (country)
$151k - $215k
ML Engineer
Python
LLM
Reinforcement Learning
Marketing
Sales
Cloud
AWS
GCP
Azure
AI
Software engineer
Apache
Agile
Posted 3 days ago
Lead Machine Learning Engineer/Scientist, Algorithms and ResearchLead Machine Learning Engineer/Scientist, Algorithms and Research
Upwork
Palo Alto, Mexico (city)
$175k - $277k
ML Engineer
LLM
Reinforcement Learning
Search
Marketing
Sales
AI
Network
Agile
Posted 3 days ago
Quantitative Developer - AI ImplementationQuantitative Developer - AI Implementation
WorldQuant
London, United States (city)
$150k - $200k
ML Engineer
Python
C
Tensorflow
PyTorch
Reinforcement Learning
AI
Posted 7 days ago
AI Engineer & Researcher - Post-trainingAI Engineer & Researcher - Post-training
xAI
San Francisco, Argentina (city)
$180k - $440k
ML Engineer
Python
LLM
Reinforcement Learning
Search
AI
Rust
Posted 9 days ago
Applied AI Engineer (Agentic Workflows) - IndiaNewApplied AI Engineer (Agentic Workflows) - IndiaNew
Built In
India, Southern Asia (country)
Back-end
Data science
ML Engineer
Prompt Engineer
Architect
Python
LLM
Reinforcement Learning
SQL
AI
Posted 10 days ago
Machine Learning Engineer, Character Animation & Motion AIMachine Learning Engineer, Character Animation & Motion AI
Genies, Inc.
New York, United States (region)
$40k - $60k
Data science
ML Engineer
Reinforcement Learning
Helm
AI
Posted 19 days ago
Senior Machine Learning EngineerSenior Machine Learning Engineer
OpenTable
San Francisco, Argentina (city)
$80k - $120k
NLP
ML Engineer
Data Warehouse
Java
Python
PyTorch
LLM
Reinforcement Learning
Docker
Kubernetes
Helm
Spring Boot
Redis
Marketing
Postgres
AI
Flask
Maven
MongoDB
ElasticSearch
Kafka
Grafana
Prometheus
S3 Bucket
Posted 20 days ago
Sr Lifecycle Marketing AssociateSr Lifecycle Marketing Associate
1-800 Contacts
New York, United States (region)
$70k - $110k
ML Engineer
Reinforcement Learning
Marketing
AI
Posted 20 days ago
Machine Learning EngineerNewMachine Learning EngineerNew
Dorsia
New York City, United States (city)
$100k - $200k
NLP
ML Engineer
Python
Tensorflow
PyTorch
Reinforcement Learning
Redis
Search
Marketing
Cloud
Terraform
AWS
GCP
SQL
Typescript
AI
Full-stack
PHP
Vercel
GitHub
Posted 21 days ago
Sr Software Engineer (AI & ML Technical Lead)Sr Software Engineer (AI & ML Technical Lead)
National Information Solutions Cooperative (NISC)
Cedar Rapids, United States (city)
ML Engineer
Architect
Python
Tensorflow
PyTorch
LLM
Reinforcement Learning
API
Cloud
AWS
GCP
Azure
AI
Open Source
Software engineer
Posted 29 days ago
Machine Learning Engineer, Credit ModelingMachine Learning Engineer, Credit Modeling
PayPay
Tokyo, Japan (city)
ML Engineer
Java
Python
Tensorflow
PyTorch
Unsupervised Learning
Reinforcement Learning
Keras
Docker
Kubernetes
Cloud
AWS
GCP
Azure
SQL
Git
Apache
MySql
Jenkins
Posted 1 month ago
Published: 2025-06-30  •  United States, Northern America (country)
DevOps
AWS
ML Engineer
Docker
Data science
Kubernetes
PyTorch
Helm
GCP
Azure
Python
Reinforcement Learning
Golang
Open Source
Computer Vision
Cloud
Grafana
Prometheus
$182k - $228k
Remote
Full-time
Company Background

Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.

Location 

This is a fully remote position within the United States.

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 + 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 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.

 

Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.
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