200+ applicantsPosted by Agency
FORDER I.T. · 3 days ago
Principal Machine Learning Engineer
Palo Alto, CA
Full-time
Onsite
Senior Level
$300K/yr - $500K/yr
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Hiring Manager
Oliver Forder
Insider Connection @FORDER I.T.
Responsibilities
Deep Learning Architecture: Devise, create, and implement innovative deep learning structures that drive advancements and enhance the effectiveness of our advertising technology. Stay abreast of the latest developments in deep learning research and incorporate them into practical applications.
ML Infrastructure Advancement: Spearhead initiatives to improve and scale our ML infrastructure, ensuring its dependability, efficiency, and scalability. Collaborate with cross-functional teams to fine-tune data pipelines, model deployment, and monitoring systems.
Collaborative Approach: Collaborate closely with our skilled team of machine learning engineers, data scientists, and software engineers to seamlessly integrate your solutions into our platform.
Performance Enhancement: Continuously refine machine learning models and algorithms to boost the precision of ad targeting, recommendation systems, and customer insights.
Research and Development: Remain at the forefront of machine learning research, employing innovative techniques to address intricate challenges within the advertising technology domain.
Qualification
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Required
Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, or a related field.
Demonstrated expertise in designing, optimizing, and scaling ML infrastructure.
Proficiency in deep learning architectures and frameworks such as PyTorch and TensorFlow.
Highly skilled in Python programming with proficiency in relevant ML libraries.
Comprehensive understanding of distributed computing, cloud platforms, and big data technologies.
Proven track record of solving complex problems and delivering innovative solutions.
Effective communication skills and the ability to collaborate seamlessly within a team environment.
Company
FORDER I.T.
FORDER I.T. only works with the most desirable and greatly anticipated AI & ML start-ups.
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
