Senior Software Engineer - Machine Learning (f/m/d)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer - Machine Learning (f/m/d) London, England, United Kingdom About the Opportunity Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team. What to expect? - Measure and ensure the high-quality output of ML workloads for our enterprise customers. - Design, build, and measure production software in the Contentful Platform. - Conduct focused research and testing using tools like Jupyter Notebook. - Optimize generative AI products for accuracy, speed, and scalability. - Integrate ML cloud solutions and adapt them to our large-scale use cases. - Integrate prompt engineering and fine-tuning for customer use cases. - Develop software that scales to meet the demands of high-load customer workloads. - Lead design reviews with peers and stakeholders to decide amongst available technologies. - Drive the ML education in the team and establish a high standard of quality & ownership What you need to be successful? - Proven experience as a technical leader in a product software development environment - Proven Track Record

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