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AI/ML - Software Engineer - Machine Learning Platform & Technologies

Entreprise non montrée
 Cambridge, Royaume-Uni
Informatique/Technologie, Anglais

Description du poste:

class="jd__row--main jd__summary--main" data-reactid="113">Build Machine Learning & Experimentation platforms to empower (COMPANY NAME) engineers in delivering great user experiences. Our team is solving key challenges in operating ML workflows for data collection, deployments, and experimentation at the scale of billions of devices. Does this interest your creative and development chops? If so, come join our team! Our work is complex and highly visible. We are a small team and the opportunities for you to make an impact are boundless.

Key Qualifications
Key Qualifications

* Experience building applications/services with Python / Java / Scala
* Strong background in building scalable and fault-tolerant distributed systems, particularly in realtime environments.
* Experience in building data pipelines, data caching/storage systems, and/or RPC services.
* Data technologies, eg Spark, Hadoop, Kafka
* Microservices architecture
* SQL / NoSQL databases
* Strong understanding of data structures & algorithms
* Excellent problem solving and debugging skills
* Strong written and verbal communication skills
* Experience with Javascript and UI frameworks/libraries like Ember, Angular, React, D3


You will primarily be responsible for implementing features & building platforms to enable on-device and device/server side combined ML workflows. You will possess strong skills in object-oriented software design and programming. You are excited about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design. ADDITIONAL REQUIREMENTS: Experience using or working with NLP or machine learning technology advantageous.

Education & Experience
Education & Experience

BS/MS Computer Science or equivalent experience.

Additional Requirements
Additional Requirements

Origine: Site web de l'entreprise
Publié: 14 Juil 2020
Langues: Anglais
40.623 emplois et stages
dans 122 pays
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