Remote Senior Machine Learning Engineer

Description:

• As a Senior Machine Learning Engineer at Orita, you will build and productionize models that directly power marketing-focused products, primarily for marketing use cases.
• You will develop scalable ML infrastructure by architecting and maintaining robust, scalable MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
• The role involves driving continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
• You will collaborate closely with cross-functional teams, including the CTO and Director of Data, to align on product goals and foster best practices for machine learning and data engineering across the organization.

Requirements:

• You should have 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
• A deep knowledge of modern machine learning algorithms, including tree-based methods, deep learning architectures, and transformers/LLMs is required.
• Hands-on experience with frameworks such as PyTorch, TensorFlow, or XGBoost is essential.
• You must have experience in feature engineering using aggregations, embeddings, and sub-models.
• A track record of building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.), is necessary.
• Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.) is required.
• Experience iterating models in a production environment is a must.
• Strong proficiency in Python (numpy, pandas, etc.) and experience with scalable data processing (Spark, Ray, BigQuery) are essential.
• You should be comfortable with advanced experimentation techniques and have an understanding of performance measurement in real-world deployments.
• Excellent communication skills are necessary to explain complex ML concepts to non-technical stakeholders.
• A self-starter mentality with the ability to own projects from ideation to deployment, while picking up and learning new technologies as needed, is important.

Benefits:

• You will have the opportunity to join a lean, agile team shaping the future of ML for leading global brands, making a significant impact.
• The role offers growth opportunities as you will work directly with industry veterans who have strong academic and professional backgrounds.
• You will be able to experiment with the latest ML models, from tree-based methods to cutting-edge LLMs, fostering innovation.
• Orita values ownership, iteration, and continuous learning, ensuring that everyone’s voice matters in the company culture.