Staff Machine Learning Engineer

Averity

$170K — $215K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of machine learning experience specializing in recommendation systems, search, NLP, LLMs, and deep learning.
  • Proven success in building scalable AI platforms for millions of users.
  • Mastery in Python, SQL, and machine learning algorithms.
  • Experience in leading high-performing teams to deliver AI-driven product features.
  • Strategic thinker with a focus on delivering business impact through AI innovations.
  • Experience in Ad Tech is a plus.

Responsibilities

  • Lead design and development of AI recommendation systems for a vast user base.
  • Build robust ML models and operational pipelines for personalized insights.
  • Collaborate with engineering, data science, and product teams for enhanced user experiences.
  • Mentor and guide a team of ML engineers and data scientists.
  • Work with cutting-edge technologies including Python, Snowflake, Databricks, and Kubernetes.

Benefits

  • Competitive salary with performance bonuses and retirement match.
  • Hybrid work model with flexible remote options two days a week.
  • Generous responsible time off policy for work-life balance.
  • Family support with paid maternity/paternity leave and fertility assistance.
  • Wellness-first culture featuring monthly wellness allowances and mental health support.
  • Focus on professional growth with mentorship programs and career development training.
  • Recognition programs and volunteer days for giving back.
  • Free lunches for hybrid workers and company-wide gatherings to strengthen connections.
Full Job Description
Staff Machine Learning Engineer - AI Products

Location: Hybrid in NYC (Bryant Park Office)

Salary Range: $170,000 - $215,000

What is the job?
  • Lead the design, development, and scaling of AI-powered recommendation systems for millions of users
  • Build robust ML models and MLOps pipelines that drive personalized insights
  • Partner with engineering, data science, and product teams to create next-level user experiences
  • Mentor and guide a team of top-tier ML engineers and data scientists
  • Work with cutting-edge tech like Python, Snowflake, Databricks, Kubernetes, AWS Ground Truth, and more


What skills do you need?
  • 7+ years of ML experience, with expertise in recommendation systems, search, NLP, LLMs, and deep learning
  • Proven track record of building scalable AI platforms used by millions
  • Mastery of Python, SQL, and ML algorithms
  • Experience leading high-performing teams in delivering AI-driven product features
  • A strategic thinker who brings business impact through AI innovation


+ Experience in Ad Tech

Perks & Benefits:

  • Competitive Salary & Bonus Structure - Earn up to $215k, annual performance bonuses + retirement match.
  • Flexibility Hybrid Work - Work from our beautiful Bryant Park office two days per week while enjoying the flexibility of remote work.
  • Work-Life Balance - Generous responsible time off policy - take the time you need.
  • Family Support - Paid maternity/paternity leave, fertility assistance and comprehensive benefits for growing families.
  • Wellness-First Culture - Monthly wellness allowances, mental health support, & access to our premium platform.
  • Professional Growth - Top-tier mentorship programs, career development training, and leadership opportunities.
  • Giving Back - Recognition programs + dedicated volunteer days to support causes you care about.
  • In-office Perks - Free lunches for hybrid employees and annual company-wide gathering to foster deeper connections.


Join us and shape the future of AI in health and wellness. Your work will impact millions, and your innovations will drive real change.

*Even if you don't meet 100% of the qualifications, we encourage you to apply.

Apply now and let's talk!

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