Machine Learning Engineer, Answers Relevance

Ladders; EE. UU.; A distancia; USD 217.000 - 322.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive healthcare benefits and

401k with employer match

Global benefit programs tailored to or

Family planning support

Gender-affirming care

Mental health and coaching benefits

Flexible vacation and paid volunteer

Generous paid parental leave

Descripción de la vacante

Ladders is seeking a Machine Learning Engineer, Answers Relevance to advance user-facing search and answer experiences through scalable ML solutions. This remote role centers on improving quality and relevance in a media environment from the US.

Compensation is substantial, reflecting senior responsibilities and impact. You will help shape the technical direction for large-scale ML systems, collaborating with partner teams on data pipelines and product goals, while advancing responsible AI and

Formación

• 4-12 years of experience building, deploying, and operating ML systems in production.
• Broad knowledge of ML fundamentals with practical application experience.
• Proficiency in developing models using TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience writing production-quality code, particularly in Python; Golang is a plus.
• Familiarity with ML systems including data pipelines and model monitoring.
• Strong communication and collaboration skills with a proven track record of product impact.

Responsabilidades

• Lead the development and enhancement of large-scale ML systems.
• Set technical direction to achieve measurable user and business outcomes.
• Collaborate with partner teams to define product and technical roadmaps.
• Assess new AI/ML methodologies and promote responsible LLM development.
• Mentor engineers and contribute to strategic ML planning.

Conocimientos

ML fundamentals

Python

Communication

Golang

Herramientas

TensorFlow

PyTorch

Hugging Face Transformers

Data pipelines

Model monitoring

Descripción del empleo

For our client, we are seeking a Machine Learning Engineer, Answers Relevance to join the team of a leader in the Media space.

This role will focus on improving the quality and relevance of user-facing search and answer experiences through scalable machine learning solutions.

You will help shape the technical direction for large-scale ML systems, working closely with partner teams to align models, data pipelines, and product goals.

The position offers the opportunity to influence measurable user outcomes while advancing responsible use of AI and modern language model techniques.

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

Compensation: $216,700 - $322,000 annually

Responsibilities

• Lead the development and enhancement of large-scale ML systems
• Set technical direction to achieve measurable user and business outcomes
• Collaborate with partner teams to define product and technical roadmaps
• Assess new AI/ML methodologies and promote responsible LLM development
• Mentor engineers and contribute to strategic ML planning

Qualifications

• 4-12 years of experience building, deploying, and operating ML systems in production
• Broad knowledge of ML fundamentals with practical application experience
• Proficiency in developing models using TensorFlow, PyTorch, or Hugging Face Transformers
• Experience writing production-quality code, particularly in Python; Golang is a plus
• Familiarity with ML systems including data pipelines and model monitoring
• Strong communication and collaboration skills with a proven track record of product impact

Benefits

• Comprehensive healthcare benefits and income replacement programs
• 401k with employer match
• Global benefit programs tailored to individual lifestyles
• Family planning support
• Gender-affirming care
• Mental health and coaching benefits
• Flexible vacation and paid volunteer time off
• Generous paid parental leave

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.