Senior Machine Learning Engineer

Next Ventures; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

A fast-growing data-driven organization in New York is seeking a Machine Learning Engineer to join an innovative team. You will lead the design and development of predictive models that influence product performance. Ideal candidates have an advanced degree, strong experience in ML deployment, and solid proficiency in Python and SQL, among other skills. This role involves analyzing complex datasets, collaborating with various teams, and staying current with ML advancements, ensuring impactful contributions to product strategy.

Qualifications

• Strong experience building and deploying ML models in a production environment.
• Deep understanding of machine learning techniques like regression, classification, and clustering.
• A proactive mindset with a passion for solving complex problems using data.

Responsibilities

• Lead the design, development, and optimization of predictive machine learning models.
• Analyze large, complex datasets to uncover trends and actionable insights.
• Collaborate cross-functionally with product, engineering, and technical stakeholders.

Skills

Machine learning techniques

Python

SQL

Cloud platforms (AWS, GCP, Azure)

Data analysis

Communication skills

Education

Advanced degree (Master’s or PhD) in a relevant field

Tools

TensorFlow

PyTorch

scikit-learn

Git

Snowflake

BigQuery

Redshift

Job description

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

What we’re looking for:

• 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 (TensorFlow, 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

Tech stack & tools:

• Python
• SQL
• AWS, GCP, Azure
• Snowflake, BigQuery, Redshift
• AI/LLM APIs
• Git

Nice to have:

• Experience with dbt, semantic layers, or modern data transformation tools
• Exposure to TypeScript
• 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.