Masterful AI logo
Masterful AI

Generative AI for Ecommerce

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 1-10H1B SponsorCompany SiteLinkedIn

Location

California

Posted

58 days ago

Salary

0

Seniority

Senior

Job Description

Machine Learning Engineer

Masterful AI

• Building the core Masterful product. • Building state of the art machine learning models for generative data. • Developing backend infrastructure to support the cloud deployment of these models. • Conducting front-end web development to monitor and analyze the performance of these models. • Creating customer-facing APIs and documentation to train their models. • Responsible for the full lifecycle of the product, including design, development, deployment, testing, maintenance, and documentation.

Job Requirements

  • Bachelor's level degree in Computer Science or other related science or engineering field.
  • Experience writing code in an Object Oriented Language.
  • Passionate about machine learning and artificial intelligence.
  • Experience in applied machine learning.
  • Experience programming in Python, C++, and/or Java.
  • Experience programming Tensorflow, PyTorch, or related ML API.
  • Experience programming in Javascript (Preferred).
  • Experience with full stack engineering (Preferred).
  • Experience with a wide variety of Deep Learning models (e.g. LSTM, RNN, CNN, VAE, GAN, etc) (Preferred).
  • Experience with deploying Deep Learning models in applied applications (Preferred).

Benefits

  • Masterful is a fully remote company, so work from wherever you want!
  • Our employees have a mix of full at home offices as well as local co-working spaces to support your ideal working environment.

Related Job Pages

More Machine Learning Engineer Jobs

SmarterDx logo

Senior Software Engineer, Machine Learning

SmarterDx

Improving clinical and financial outcomes with physician-validated AI for documentation and coding.

Full TimeRemoteTeam 11-50H1B No Sponsor

• Deploy and maintain machine learning models and pipelines in production environments. • Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform. • Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems. • Optimize model performance and scalability, ensuring high reliability and efficiency. • Build tools to improve the lives of our data scientists. • Contribute to the design and architecture of our ML systems.

United States
$190K - $230K / year
Job Closed
SmarterDx logo

Staff Software Engineer, Machine Learning

SmarterDx

Improving clinical and financial outcomes with physician-validated AI for documentation and coding.

Full TimeRemoteTeam 11-50H1B No Sponsor

• Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems. • Optimize model performance and scalability, ensuring high reliability and efficiency. • Build tools to improve the lives of our data scientists. • Contribute to the design and architecture of our ML systems.

United States
$230K - $270K / year
ethdevs.io logo

A.I. Developer / Machine Learning Engineer

ethdevs.io

Making a difference for the Ethereum community. ethnashville.io ethdevs.io

Full TimeRemoteTeam 1-10H1B No Sponsor

• A healthy mix of experience with some of the following tools: • Programming languages like Java, Scala, and Python • Deep learning platforms such as H20.AI • Deep learning libraries • Google assistants to implement within AI systems • Cloud platforms like Azure or Google Cloud AI • IBM Watson AI solutions • APIs like OpenGL or PhysX • Profiling tools like Perl or Perforce • Analytic tools like TensorFlow, Torch, and PyTorch • GitHub Copilot: AI-powered code assistant • Tabnine: AI-powered code completion tool • Kite: AI-powered code documentation tool • Model Zoo: Open-source repository of pre-trained AI models

Tennessee

Staff Machine Learning Engineer – Search

PrizePicks

PrizePicks is a sports betting company offering a fantasy platform where users can select players and teams to place bets on. With the mission of becoming the most loved fan engage

• Architect Global Search: Build the foundational architecture for a unified Global Search entry point that creates a "Single Source of Truth" across Players, Teams, and Game Modes. • Optimize for Speed: Engineer the Prizepicks search stack to achieve <200ms latency targets. • Advanced Retrieval Logic: Implement fuzzy matching, nickname support, and natural language processing (NLP) to handle user queries intuitively. • Dataverse Integration: Partner with Data Engineering to ensure the Search Index is fed by real-time streams of projections, live game states, and social data, ensuring results are never stale.

United States
$220K - $280K / year
Job Closed