Staff Machine Learning Engineer
Posted on: August 5, 2022
Pocket empowers people to discover, organize, consume, and share
content that matters to them. Our apps and platform are essential
ways that tens of millions of people discover and consume content
on the web. Pocket is the Web, curated: for you and by you.
Build the systems connecting millions of people to the content
worthy of their time and attention. We are looking for a Staff
Machine Learning engineer to partner with the editorial and product
teams to develop the recommendation systems that power Pocket's
discovery surfaces and the Firefox new tab. Machine learning
engineers are responsible for designing and evolving both
algorithmic and human-in-the-loop recommendation systems. Pocket is
committed to recommending high-quality content at scale while
respecting our readers' data and privacy.
We seek applied machine learning experts who can both design
algorithms and architectures to satisfy product requirements and
also help deploy their solutions in production. Pocket
recommendations combine content and engagement signals with the
human expertise of our editorial team. Our recommendation systems
reflect editorial principles, Mozilla's values, and the pocket
mission. We optimize our systems to enable users to discover
content that they can consume on their terms and at their pace.
People who excel on our team thrive in small, dynamic environments.
We contribute in many areas beyond machine learning, including
product engineering, machine learning operations, and data
modeling, among others.
What You'll Do
- Work closely with Pocket editorial, product management, and
experience design teams to deliver high-quality features and
- Be involved in end-to-end development, exploring new
applications and techniques within natural language processing,
applied machine learning, and explainable and privacy-aware ML
- Enhance our machine learning infrastructure.
- Write robust production-level code and engage in code
What You Bring
- Technical education in Computer Science, Information Science,
Engineering, or equivalent experience (Master's degree or higher
- 3+ years of relevant experience in Machine Learning
- shipping high-quality machine learning solutions to
- design and analysis of experiments (A/B tests) to validate
iterative system development
- conceptual familiarity with feature stores, monitoring and
observability, data distribution shifts
- Flexible and comfortable working within a distributed
organization and with minimal process. This role allows for a high
degree of ownership and requires rapid iteration.
- Motivation to learn continuously and help define research and
development practices in an applied setting
- Excellent verbal and written communication skills and
willingness to convey algorithmic or engineering considerations to
- Experienced in building recommendation systems on cloud
platforms like AWS Sagemaker or Google Cloud ML.
- AWS SageMaker, Google Cloud ML
- ML: Scikit-Learn, PyTorch, Hugging Face, Metaflow
- Storage: Snowflake, AWS Feature Groups, AWS S3, AWS
- Orchestrators: Airflow, Prefect
- Data modeling: DBT
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and
forms of knowledge are crucial to and enrich the company's core
mission. We encourage applications from everyone, including members
of all equity-seeking communities, such as (but certainly not
limited to) women, racialized and Indigenous persons, persons with
disabilities, persons of all sexual orientations, gender identities
We will ensure that qualified individuals with disabilities are
provided reasonable accommodations to participate in the job
application or interview process, to perform essential job
functions, and to receive other benefits and privileges of
employment, as appropriate. Please contact us at
email@example.com to request an accommodation.
We are an equal opportunity employer. We do not discriminate on the
basis of race (including hairstyle and texture), religion
(including religious grooming and dress practices), gender, gender
identity, gender expression, color, national origin, pregnancy,
ancestry, domestic partner status, disability, sexual orientation,
age, genetic predisposition, medical condition, marital status,
citizenship status, military or veteran status, or any other basis
covered by applicable laws. Mozilla will not tolerate
discrimination or harassment based on any of these characteristics
or any other unlawful behavior, conduct, or purpose.
Keywords: Mozilla, Albuquerque , Staff Machine Learning Engineer, Engineering , Albuquerque, New Mexico
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