Senior Machine Learning Engineer, Mozilla.ai

Salary not provided

Performance-based bonus plans available

Python

Kubeflow

PyTorch

Senior and Expert level

Remote from Canada, Europe, UK, US

Democratizing open-source AI to solve real user problems

Job no longer available

Democratizing open-source AI to solve real user problems

1-20 employees

B2BArtificial IntelligenceSaaS

Job no longer available

Salary not provided

Performance-based bonus plans available

Python

Kubeflow

PyTorch

Senior and Expert level

Remote from Canada, Europe, UK, US

1-20 employees

B2BArtificial IntelligenceSaaS

Company mission

To build, commercialize, and open source components and tools that make it easy for developers and users to develop AI agents to solve real-world use cases.

Job

Company

Role

Who you are

+5 years of professional experience in machine learning and strong background software engineering
Comfortable with open source development work
Experience with deep learning frameworks, (e.g., PyTorch) is a plus
Experience with large-scale dataset processing and data augmentation techniques
Experience with managing experiments and models (e.g., platforms like Weights and Biases, MLFlow, KubeFlow)
Strong proficiency in Python and familiarity with relevant libraries and tools
Comfortable working in the cloud - containerization, cloud resource management, etc
Excellent problem-solving skills and the ability to work both independently and as part of a team
Effective communication skills, including the ability to translate technical concepts to non-technical stakeholders
A demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment

What the job involves

We are seeking a Machine Learning Engineer with a strong background in developing products with ML models at their core - areas like recommendation systems, scaled detection, feature extraction, content modeling, agents, natural language interfaces, search, etc., to join our dynamic team. The ideal candidate will be working on a product engineering team and contribute to our open-source LLM evaluation platform, focusing on model validation, selection, and deployment. The main responsibilities of this position are:
Develop tools to streamline development, management, and/or evaluation of models
Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure
Prepare and preprocess datasets for model evaluation
Run and manage experiments related to model evaluation and training
Evaluate model performance using standard metrics and techniques
Collaborate with other teams, including product management and platform engineering, to ship features
Collaborate on the implementation of MLOps best practices to ensure smooth model deployment, monitoring, and maintenance
Engage with internal and external stakeholders, translating complex technical details into clear insights
Contribute to the product engineering lifecycle, from ideation to deployment and maintenance of new features

Our take

The fever pitch for AI has led to a number of exciting new products and innovations that can enrich people's lives. Mozilla, however, doesn’t believe that human agency and user interest have generally been at the core of products like Chat GPT and the latest LLM models. Mozilla believes that accountability and transparency should be at the heart of this new technology. That’s why the legacy software company has launched Mozilla AI, a company dedicated to building an independent open source - and above all - trustworthy AI ecosystem.

Founded in 2023 off a $30 million grant from its parent company, Mozilla AI is focused on developing and investing in tools that make generative AI safer and more transparent. A response to the status quo of other large tech companies' approach to AI, Mozilla might be a little late to the game compared to Google and Apple, but this has allowed it time to innovate beyond the initial surge of products. One of its first releases was Fakespot, which uses an AI chatbot to weed out fake or deceptive user reviews in the eCommerce space, exemplifying its user-first ethos.

With its refreshing take on the AI revolution, Mozilla does have a lot of catching up to do. The proof of its people-first philosophy will come from future investments and products, and it’ll be interesting to see if it can live up to its industry-disrupting manifesto.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

47% female employees

Glassdoor (3.6)

Company

Funding (1 round)

Mar 2023

$30m

GRANT

Total funding: $30m

Company benefits

Premium package featuring core benefits tailored to your country of residence encompassing essential services such as health insurance and retirement plans
25 per year of Paid Time-off
Generous performance-based bonus plans to all regular employees
One-time home office stipend of 1,000 USD
Annual professional development budget
Annual well-being stipend of 3,500 USD

Company HQ

Argüelles, Madrid, Spain

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