Senior Machine Learning Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-18
Listing for:
Next Ventures
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Job Description & How to Apply Below
We’re partnering with a fast-growing, data-driven organization that’s looking to bring on a Machine Learning Engineer to join a highly collaborative and innovative team. This is a key role where you’ll drive the development of predictive models that directly influence product performance and client outcomes.
What you’ll be doing :- Lead the design, development, and optimization of predictive machine learning models
- Analyze large, complex datasets to uncover trends and actionable insights
- Partner with data engineering teams to build and maintain feature pipelines
- Evaluate and iterate on model performance using robust testing methodologies
- Deploy models into production environments and integrate via APIs
- Collaborate cross-functionally with product, engineering, and technical stakeholders
- Stay at the forefront of ML and data science advancements, bringing new ideas into practice
- Advanced degree (Master’s or PhD) in a relevant field
- Strong experience building and deploying ML models in a production environment
- Deep understanding of machine learning techniques (e.g. regression, classification, clustering, deep learning)
- Proficiency in Python and common ML libraries (Tensor Flow, PyTorch, scikit-learn)
- Experience working with SQL, cloud platforms (AWS, GCP, or Azure), and modern data warehouses
- Strong communication skills with the ability to work across technical and non-technical teams
- A proactive mindset with a passion for solving complex problems using data
- Python
- SQL
- AWS, GCP, Azure
- Snowflake, Big Query, Redshift
- AI/LLM APIs
- Git
- Experience with dbt, semantic layers, or modern data transformation tools
- Exposure to Type Script
- Background in Bayesian modeling or marketing analytics (e.g. marketing mix modeling)
- Familiarity with experimentation frameworks (A/B testing, causal inference)
- Understanding of digital marketing ecosystems and attribution models
💡 This is an opportunity to work on high-visibility projects where your work will directly shape product strategy and business impact.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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