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
Agile
Redshift
Python
JavaScript
React.js
Tensorflow
Git
Pytorch
Apache Spark
SQL
Java
Docker
Tableau
CloudFormation
AWS
Scala
Jenkins
Hadoop
Linux/Unix
AngularJS
HTML/CSS
Snowflake
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.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
  • Proven ability to mentor and guide junior team members.
  • Ability to present complex ideas in a clear, concise way.
  • Hunger and passion for learning new skills.
  • Experience with marketing analytics, experimentation frameworks, and voice of customer analytics.
  • Familiarity with big data technologies such as Spark or Hadoop.
  • Certifications in AWS or related technologies.
  • Experience with Agile and Test-Driven Development methodology.
  • Experience in building data engineering monitoring tools.
  • Familiarity with Tableau.
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 operates a platform that connects game developers and players in the blockchain gaming and NFT market. The platform allows developers to list their games and in-game assets, while gamers can explore, purchase, and trade unique digital items known as NFTs, which can represent ownership of various 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 distinguishes itself from competitors by fostering a strong community through social media channels like Discord and Twitter, which helps keep users engaged and informed about new listings and trends. The goal of Fractal is to create a vibrant marketplace for digital assets in the gaming industry, enhancing the interaction between 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

  • Fractal's recent $35 million funding round led by Paradigm and Multicoin Capital provides significant financial backing for growth and innovation.
  • The launch of the 'Sign In with Fractal' digital wallet streamlines the user experience for Web3 gamers, potentially increasing platform adoption.
  • Expanding to Polygon opens up new opportunities for game developers and broadens Fractal's market reach.

What critics are saying

  • The volatile nature of the NFT and cryptocurrency markets could impact Fractal's revenue and user base.
  • Competition from other blockchain gaming platforms and NFT marketplaces may challenge Fractal's market position.

What makes Fractal unique

  • Fractal's focus on the gaming industry and NFTs sets it apart from other blockchain platforms that may not specialize in this niche.
  • The introduction of FStudio tools simplifies blockchain integration for game developers, reducing the need for extensive blockchain expertise.
  • Fractal's community-driven approach, leveraging social channels like Discord and Twitter, enhances user engagement and retention.

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Benefits

Generous PTO

Competitive Salary

401k Contributions