Full-Time

Senior Mlops Engineer

Full Stack, React

Confirmed live in the last 24 hours

Fractal

Fractal

11-50 employees

Marketplace for blockchain gaming and NFTs

Crypto & Web3
Gaming

Compensation Overview

$135kAnnually

+ Bonus

Senior

Sunnyvale, CA, USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Dataiku
Microsoft Azure
Redshift
Python
JavaScript
React.js
Tensorflow
Git
Pytorch
SQL
Java
Docker
CloudFormation
AWS
Scala
Jenkins
Hadoop
Linux/Unix
AngularJS
HTML/CSS
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Minimum of 5 years of experience in MLOps, with a proven track record of productionalizing ML models at scale in a commercial setting.
  • Proficiency in Python, Scala, or Java, and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong experience with AWS services, including but not limited to SageMaker, EC2, S3, Lambda, and CloudFormation.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Expertise in building and maintaining ETL pipelines using tools such as Apache Airflow, Glue, or similar, and familiarity with e-commerce data and Adobe analytics preferred.
  • Knowledge of version control systems like Git and CI/CD tools such as Jenkins or GitLab CI.
  • Experience with model repositories like MLFlow or Kubeflow Model Registry.
  • Familiarity with ML platforms like Kubeflow, DataRobot, HopsWorks, or Dataiku.
  • Experience with large-scale data warehouse solutions such as Teradata, Snowflake, or Redshift.
  • Hands-on experience in a Unix/Linux environment.
  • Experience with front-end technologies such as JavaScript, HTML, CSS, and frameworks like React and Angular.
  • Solid technical database knowledge (Hadoop, Teradata, Snowflake data modeling) and experience optimizing SQL queries on large data.
  • Familiarity with continuous integration & development and automation tools such as Jenkins, Artifactory, and Git.
  • Certifications in AWS or related technologies.
Responsibilities
  • Develop, deploy, and maintain machine learning models (MMM, experimentation, VoC) in production environments to ensure scalability and reliability.
  • Collaborate with data engineers to design and build efficient ETL pipelines for data ingestion, transformation, and loading, and familiarity with e-commerce Adobe analytics data is preferred.
  • Implement automated monitoring and alerting for ML models and data pipelines to ensure performance and stability.
  • Work closely with backend data engineers, product, and data science team to develop and ship new, innovative user experiences and performance data visualizations and optimization in retail.
  • Continuously optimize ML model performance and infrastructure to improve speed, accuracy, and cost-efficiency.
  • Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.
  • Leverage AWS services to build, deploy, and manage ML models and data pipelines, ensuring best practices in cloud security and cost management.
  • Guide and mentor data engineers, and other ML ops engineers in the team to improve efficiency with data pipelines and MLOps best practices.
  • Stay updated with the latest trends and advancements in MLOps, machine learning, and cloud technologies to drive continuous improvement and innovation within the team.
  • Enable model tracking, experimentation, and automation to streamline the ML development lifecycle.
  • Develop MLOps components using tools like MLFlow, Kubeflow Model Registry, and E2E PaaS/SaaS solutions like DataRobot, HopsWorks, or Dataiku.
  • Work across all phases of the model development lifecycle to build and integrate MLOps components.
  • Build and maintain a knowledge base to deliver increasingly complex MLOps projects on the Cloud (AWS, Azure, GCP) or on-premises environments.
  • Be an integral part of client business development and delivery engagements across multiple domains.

Fractal is a platform that connects game developers and players in the blockchain-based gaming and NFT market. It allows game developers to list their games and in-game assets, while gamers can explore, purchase, and trade unique digital items known as NFTs. These NFTs can represent ownership of various in-game assets, art, or collectibles. Fractal supports a range of games, including popular titles like "House of Sparta" and "Mini Royale," which integrate NFTs into their gameplay. The company generates revenue by taking a commission on transactions that occur on its platform, including both new NFT sales and secondary market trades. Fractal also emphasizes community engagement through social media channels like Discord and Twitter, helping to keep users informed about new listings and trending games. The goal of Fractal is to create a vibrant marketplace for digital assets in the gaming industry while fostering a strong community of developers and gamers.

Company Stage

Seed

Total Funding

$34.2M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Polygon attracts developers with its scalability and lower transaction fees.
  • FStudio tools lower barriers for developers, increasing games and assets on Fractal's platform.
  • Recent $10 million funding boosts resources for platform expansion and growth.

What critics are saying

  • Expansion to Polygon may increase competition, diluting Fractal's market share.
  • Focus on blockchain might alienate traditional gamers, limiting user base.
  • Digital crypto wallet launch exposes Fractal to potential cybersecurity threats.

What makes Fractal unique

  • Fractal offers a unique marketplace for gaming NFTs, focusing on blockchain-based assets.
  • The platform supports popular games like 'House of Sparta' and 'Mini Royale'.
  • Fractal's FStudio tools simplify blockchain integration for game developers.

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Benefits

Generous PTO

Competitive Salary

401k Contributions