Machine Learning Engineer II

Ladders; United States; Remote; USD 215,000 - 286,000; Full time

Benefits offered by this job

Telecommuting

Equity

Inclusive culture

Job summary

Our client, a leader in Consumer Technology, is seeking a Machine Learning Engineer II to design, build, and scale personalized experiences for users in a remote US-based role. You will partner closely with cross-functional teams to design, test, and deploy models across multiple product surfaces, leveraging data-driven insight and rapid experimentation.

Compensation is $215,250 – $285,982 annually, with equity eligibility; benefits include telecommuting and a commitment to an inclusive,

Qualifications

• Master's degree required in a quantitative field.
• 3 years of relevant experience.
• 2 years in user modeling/personalization/recommender systems.
• Hands-on data processing with Hadoop and Spark.
• Familiarity with deep learning and ML advancements.

Responsibilities

• Build and improve personalization using deep learning and ML.
• Collaborate with cross-functional teams to experiment with models across product surfaces.
• Use data-driven methods to improve candidate retrieval and content understanding.
• Contribute in a high-impact environment with rapid experimentation and frequent launches.
• Stay current on trends in recommender systems and leverage LLMs.

Skills

Deep learning

Machine learning

Personalization

Recommender systems

Data pipelines

LLMs

Education

Master's degree in Computer Science, Data Science, Engineering, or related quantitative field

Tools

Hadoop

Spark

Job description

For our client, we are seeking a Machine Learning Engineer II to join the team of a leader in the Consumer Technology space.

This role will focus on building and improving machine learning systems that personalize the user experience at scale. You will partner closely with cross-functional teams to design, test, and deploy models across multiple product areas. The position offers the opportunity to work in a fast-moving environment where rapid experimentation and strong data-driven decision-making directly influence product outcomes.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $215,250 – $285,982 annually

Responsibilities

• Build and improve technology that personalizes the user experience using deep learning and machine learning.
• Collaborate with cross-functional teams to experiment with and enhance ML models across multiple product surfaces.
• Use data-driven methods to improve candidate retrieval using unique data properties.
• Contribute in a high-impact environment with rapid experimentation and frequent product launches.
• Stay current on trends in recommendation systems and leverage LLMs for content understanding.

Qualifications

• Master's degree in Computer Science, Data Science, Business Analytics, Engineering, or a related quantitative field.
• Three years of experience in a relevant role or related field.
• Two years of experience in user modeling, personalization, and recommender systems.
• Hands-on experience with data processing pipelines, Hadoop, and Spark.
• Familiarity with deep learning and machine learning advancements.

Benefits

• Full-time telecommuting option available.
• Equity eligibility as part of the compensation package.
• Commitment to an equitable, inclusive, and inspiring workplace culture.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.