Hang Ten SEO
Machine Learning Engineer
Remote, New York
Sponsorship not specifiedDetected 981 days ago
PythonRubyAlgorithmsPostgreSQLRedisSnowflakeVector DatabasesMachine LearningTensorFlowPyTorchData AnalysisLLMsResearchLeadershipCommunicationProblem Solving
About the role
- We are seeking a skilled and innovative Machine Learning Engineer to join our team.
Requirements
- You have a passion for consumer brands and loyalty programs.
Nice to have
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- A Ph.D. is a plus.
- 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.
- Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
- Experience with snowflake, Postgres, RDS, Redis and AWS.
Compensation
- Competitive salary & equity compensation.
Benefits
- Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
- Unlimited PTO / sick leave
- Competitive salary & equity compensation.
- Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
- Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
- Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
- 5+ years of experience in machine learning and data related roles.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
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This listing is sourced directly from Hang Ten SEO's careers page and normalized into a canonical job model.