RemoteLeaf Logo
Log in Sign up

Senior Machine Learning Engineer

18 hours, 5 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
AWS Azure GCP Go Kubernetes Machine Learning MLOps Python
Apply Now
Censys

Censys

Censys provides security teams with a comprehensive and accurate mapping of the internet, enabling them to effectively defend against attack surfaces and proactively hunt for threats.

IT Services
51-250
Founded 2017
$53M raised
View All Jobs 13

Description

  • Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
  • Own the design and development of applied ML workflows that transform raw Internet telemetry into usable context.
  • Partner with engineering, research, security, and product teams to define models, datasets, and feedback loops that improve coverage and quality.
  • Develop components such as feature pipelines, training datasets, model evaluation frameworks, confidence scoring systems, and cloud or on-prem services.
  • Help expand the data platform to support future products and features that add richer context and reveal complex relationships in Internet data.

Requirements

  • 5+ years of experience in data science, machine learning engineering, or software engineering with applied ML responsibilities.
  • Experience building and deploying machine learning or statistical models in production environments.
  • Experience programming in Go or Python and familiarity with software engineering practices for maintainable systems.
  • Experience working with large datasets and building data pipelines for feature generation, training, or inference.
  • Proficiency with supervised and unsupervised learning techniques, including classification, clustering, similarity scoring, or anomaly detection.
  • Ability to evaluate models using statistics and understand tradeoffs among precision, recall, accuracy, and confidence.
  • Ability to write understandable, testable code with an emphasis on maintainability.
  • Strong communication skills and ability to explain technical concepts, model behavior, and tradeoffs to engineers, researchers, and product managers.
  • Open to using AI responsibly to improve efficiency and impact.
  • Experience building classification, enrichment, or labeling systems for messy or partially labeled data (preferred).
  • Experience deploying models in containerized environments such as Kubernetes (preferred).
  • Experience with a cloud provider such as AWS, Azure, or GCP (preferred).
  • Familiarity with feature stores, model serving, MLOps workflows, or experiment-tracking tools (preferred).
  • Familiarity with security, Internet measurement, or network-derived datasets (preferred).

Benefits

  • Remote work within the United States.
  • Competitive salary range of $171,000-$203,000 in high-cost locations or $150,000-$188,000 elsewhere, plus bonus eligibility and equity.
  • Equity compensation.
  • Health, dental, and vision coverage.
  • Retirement plan with company contribution.
  • Parental leave.
  • Mental health and wellness benefits.
  • Flexible PTO.
  • Professional development stipend.
  • Annual bonus plan for eligible non-sales roles.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Pavago

Full-Stack AI Engineer

Pavago IT Services

Our client is hiring a Full-Stack AI Engineer to build and deploy production-ready AI applications that combine software engineering, machine learning, and cloud infrastructure across the full product lifecycle.

United States Portugal Full-time Mid Level Full-stack Engineer Machine Learning Engineer
AWS Azure CI/CD Dagster Docker Elasticsearch FastAPI Flask GCP Git GitHub HIPAA Hugging Face Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps Next.js Node.js Prefect Prometheus Python PyTorch React REST API SageMaker Serverless Snowflake SQL TensorFlow TypeScript Vue.js
1 hour, 47 minutes ago
Provectus

Data/ ML Solution Architect (GenAI, AWS)

Provectus 251-1K Professional Services

Provectus is hiring a Data/ML Solution Architect in a remote role to design and lead cloud and on-premise data and AI/ML solutions that support customer transformations and business outcomes.

Colombia Costa Rica Full-time Lead Data Architect Machine Learning Engineer
Agile AWS AWS CDK Azure Docker GCP Generative AI Java Kubernetes Machine Learning Microservices MLflow MLOps Neo4j Python PyTorch Terraform TypeScript
3 hours, 5 minutes ago
Spotify

Senior Machine Learning Engineer, Zeitgeist, Personalization

Spotify Media

Spotify is hiring a Senior Machine Learning Engineer for the Zeitgeist squad in Personalization to build AI systems that understand cultural trends in real time and power new personalized listening experiences.

United Kingdom Sweden Full-time Senior Machine Learning Engineer
GCP Generative AI Java LLM Machine Learning NLP Python Scala
18 hours, 9 minutes ago
DoorDash

Senior/Staff Deep Reinforcement Learning Engineer

DoorDash 10K-50K Air Freight & Logistics

DoorDash is hiring a Senior/Staff Deep RL Engineer to develop and deploy real-time autonomous driving policies for its DD Labs team, from problem formulation and training through on-vehicle inference.

United States Full-time Senior Machine Learning Engineer Research Scientist
$168k-$247k
Deep Learning Reinforcement Learning
21 hours, 52 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers