Machine Learning Engineer (Senior) at Hang | Torre

Machine Learning Engineer (Senior)

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Full-time

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Remote (for United States residents)
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Emma of Torre.ai
about 1 month ago

Responsibilities


About the RoleWe are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.What You’ll DoDesign, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.Continuously test and refine algorithms to improve accuracy and efficiency.Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.Who You AreBachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.5+ years of experience in machine learning and data related roles.Proven experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).Experience with data processing and data analytics.Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.Experience with snowflake, Postgres, RDS, Redis and AWS.Excellent problem-solving skills and ability to work in a fast-paced environment.Strong communication skills and ability to work well in a team.Experience with Ruby is a plus.What Would Set You ApartYou have a passion for consumer brands and loyalty programs.BenefitsTop-tier health, vision, and dental insurance, including plans with $0 employee cost.Unlimited PTO / sick leaveCompetitive salary & equity compensation.Quarterly company offsites