Senior Machine Learning Engineer

hace 3 semanas

Desde casa, México Fusemachines A tiempo completo

**About Fusemachines**Fusemachines is an artificial intelligence talent and education solutions company dedicated to democratizing AI. Headquartered in New York,US with operations in Dominican Republic, Canada, and Nepal, it is a 200+ company. Fusemachines' AI educational program has made world-class AI education accessible and affordable to students worldwide. Fusemachines helps organizations identify opportunities where AI can be best utilized to transform and grow their business.**About the role**We are seeking an experienced machine learning generalist who can build and deploy machine learning models in the ultra low latent search ads ecosystem. This is a remote, full-time consulting position**What You'll Do**- Manage the entire process of ML projects and solutions, from concept development to data acquisition, prototyping, model development, and implementation in production.- Create and implement procedures and tools to track and evaluate the performance and accuracy of models and data.- Experience delivering high quality software at scale in a low latency environment.- Translate research papers into high-quality, production-ready code.- Take responsibility and ownership of features and drive key architectural decisions.- Communicate effectively, collaborate, and build long-term relationships across the organization.- Mentor junior team members in achieving engineering excellence and be a change agent on the team.**Qualifications**- A PhD with 2-3 years of experience or an MS with 3-5 years of experience in a quantitative field with experience building production systems or have equivalent experience working with large ML projects in industry.- Proven expertise in building ML models in at least one of the following domains: NLP, relevance, ranking, recommendation systems, and search.- Breadth and depth knowledge of statistical learning, machine learning, and deep learning.- Experience in building distributed, low-latency, high-throughput batch and online ML services.- Knowledge of how to deploy and maintain ML services in a production environment.- Experience in designing and deploying feature engineering pipelines in production.- Deep expertise in model monitoring and ML ops including containers and orchestration.- Fluency in one of the programming languages, preferably Python or Java.- Experience with Spark, Hadoop or other distributed frameworks, SQL, and cloud services.- Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.- Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment.**Preferred Qualifications**- 5+ years of experience in building ML models in the ads space or recommender systems.- Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models.- Experience in building and deploying online experimentation frameworks to identify right models and features at scale.- Experience in building ad selection frameworks using reinforcement learning or contextual bandits.- Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status._CH4q9cQhAV

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