Remote Jobs

Weights & Biases logo

AI Customer Support Engineer - Tier I

Weights & Biases

Location
India
Posted

Support AI developers by providing technical assistance and troubleshooting issues related to Weights & Biases' products. Collaborate with cross-functional teams to improve user experience.

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Data Engineer

Reka

Location
Singapore
Posted

Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.

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Data Engineer

Yuno

Location
Chile
Posted

Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.

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Data Engineer

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Location
Croatia
Posted

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Data Engineer

Red Canary

Location
United States of America
Posted
Salary Range
117k - 135k USD

Design and build scalable data infrastructure at Red Canary. Develop and manage data products, ensuring high-quality data for cross-functional teams to drive innovation and growth.

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Data Engineer

Eneba

Location
Lithuania
Posted
Salary Range
48k - 72k EUR

Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.

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Data Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as a Data Engineer to design scalable data pipelines and implement ML algorithms for their advertising platform. Enjoy competitive salary, equity, RRSP matching, health benefits, work from home support, training programs, mentorship, and a supportive culture in this remote-first role.

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Lead Machine Learning Engineer

hims & hers

Location
United States of America
Posted
Salary Range
190k - 230k USD

Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning

Superside logo

Lead Machine Learning Engineer

Superside

Location
Cameroon
Posted

Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside

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DevOps Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as an Infrastructure Engineer to optimize AWS infrastructure, implement security measures, and enhance observability. Utilize tools like Terraform, Kubernetes, and more for robust system performance and reliability.

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DevOps Engineer

BVNK

Location
Cameroon
Posted

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DevOps Engineer

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Location
United States of America
Posted

DevOps Engineer at Checkr: Build and run cloud infrastructure, drive platform adoption, and ensure scalability and security.

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Product Engineer - AuthKit

WorkOS

Location
United States of America
Posted
Salary Range
175k - 250k USD

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Software Engineer (Backend): Layer 1

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Location
Croatia
Posted

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Fullstack Engineer

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Location
Croatia
Posted

Fullstack Engineer for SwissBorg - Develop responsive full-stack applications, engage with designers & PMs, and contribute to on-chain ecosystem growth.

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Frontend Engineer

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Location
Brunei Darussalam
Posted

Frontend Engineer at Binance: Develop user-facing features for cryptocurrency exchange, optimize web applications, and collaborate with a global team.

Binance logo

Frontend Engineer

Binance

Location
Brunei Darussalam
Posted

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Frontend Engineer

Apollo.io

Location
India
Posted

Work as a Frontend Engineer at Apollo, collaborating with cross-functional teams to implement best practices. Use React/Redux/Node.js on the frontend and Ruby/Rails/MongoDB/Elasticsearch on the backend. Focus on quality, automation, performance improvements, and innovation while maintaining code quality and delivering high-quality solutions.

Binance logo

Frontend Engineer

Binance

Location
Brunei Darussalam
Posted

Senior Frontend Engineer at Binance: Build innovative solutions for KYC platform, collaborate with world-class talent, and shape the future of finance.

Binance logo

Frontend Engineer

Binance

Location
Brunei Darussalam
Posted

Frontend Engineer at Binance: Develop website features & APIs, collaborate with teams, & implement security best practices.

Weights & Biases logo

AI Customer Support Engineer - Tier I

Weights & Biases

Job Location

Job Summary

At Weights & Biases, we build tools for AI developers to help them build better models. As a Customer Support Engineer, you'll be the first line of support in APAC, responding to technical queries and collaborating with engineering and product teams. This role requires strong programming skills, experience with ML frameworks, and a passion for helping users.

Skills

AWSAzureDockerGCPKerasKubernetesPythonPyTorchTensorFlowMatplotlibJupyter notebooksColab

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.

Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.

Support is a deep part of our culture here at Weights & Biases. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users and help shape our product.

Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. In this role, you will act as the face of the company and the first line of support in APAC. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you.

Responsibilities:

  • Quickly respond to all inbound support requests including email, live chat, and community forums

  • Triage bugs and requests based on customer type and severity of issue

  • Track inbound and outbound responses to ensure contact SLAs are being met

  • Maintain a fast response time for the entire user base

  • Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features

  • Recognize trends in user messages to help identify areas of improvement in internal or external documentation

  • Learn Weights & Biases’ product features and build up knowledge base to resolve issues on your own

Requirements:

  • 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects

  • Python expert

  • Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib, and other ML frameworks and tools

  • A passion for connecting with real users and enabling them to be power users of the product

  • Good organization of assigned requests to oversee timely follow-up for every message

  • Work autonomously in a self-directed environment

  • Proactively find ways to improve processes and collaborate internally

  • Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team

  • Interest in machine learning

Strong Plus:

  • Have worked in a small-stage startup previously

  • Previous experience in machine learning

  • Customer service experience in a technical SaaS environment

  • Experience in frontend frameworks

  • Experience with Docker, AWS, GCP, Azure

  • Experience with Kubernetes or other cloud infrastructures

Our Benefits:

  • 🏝️ Flexible time off

  • 🩺 Medical, Dental, and Vision for employees and Family Coverage

  • 🏠 Remote first culture with in-office flexibility in San Francisco

  • 💵 Home office budget with a new high-powered laptop

  • 🥇 Truly competitive salary and equity

  • 🚼 12 weeks of Parental leave (U.S. specific)

  • 📈 401(k) (U.S. specific)

  • Supplemental benefits may be available depending on your location

  • Explore benefits by country

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].

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