About the Role
We are looking for a Senior Machine Learning Engineer to join our team in a fully remote capacity. This role offers a competitive salary of up to $220,000 and the chance to work with cutting-edge technologies in AI and machine learning.
What You'll Do
- Architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- Build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- Develop feature engineering workflows using PySpark and embedding techniques.
- Own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- Implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
Requirements
- MSc or PhD in Computer Science, Machine Learning, or a related field.
- Strong ML engineering experience with proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level skills in Python and PySpark for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
Nice to Have
- Experience with MLOps practices.
- Knowledge of distributed systems and neural network architectures.
What We Offer
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
If you're passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more about this Senior Machine Learning Engineer remote opportunity.
This Senior Machine Learning Engineer role offers a competitive salary and the chance to work with cutting-edge AI technologies in a fully remote setting.
About Harnham
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Who Will Succeed Here
Proficient in Python and experienced with frameworks such as PyTorch and PySpark, demonstrating the ability to architect and train complex neural network models for optimization tasks.
Self-motivated and disciplined, thriving in a fully remote work environment, with excellent time management skills to balance multiple projects and deadlines across different time zones.
Possesses a strong analytical mindset and a deep understanding of data pipeline architectures, with hands-on experience in cloud services like AWS and data warehousing solutions like Snowflake.
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