Machine Learning Engineer

Job not on LinkedIn

🕒 March 27

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Hang

WebsiteLinkedInAll Job Openings

1 - 10 employees

☁️ SaaS

🤖 Artificial Intelligence

Advertising • SaaS • Artificial Intelligence

Hang is a company that focuses on enhancing customer experiences through advanced services. They offer tools to help unify customer channels and touchpoints, personalizing the customer journey with real-time analytics and AI-driven promotions. Hang provides businesses with the ability to launch loyalty programs, manage campaigns, and create immersive digital experiences. Their solutions allow for easy integration and management of customer interactions, offering features like native apps, community engagement, social media tracking, and viral referrals. With an emphasis on personalized customer engagement, Hang helps brands build better relationships through data-driven insights and a modern control plane for managing customer experiences.

📋 Description

• Design, 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.

🎯 Requirements

• Bachelor'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.

🏖️ Benefits

• Top-tier health, vision, and dental insurance, including plans with $0 employee cost. • Unlimited PTO / sick leave • Competitive salary & equity compensation. • Quarterly company offsites