Senior Machine Learning Engineer

MNTN; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

Join MNTN as a Senior Machine Learning Engineer, leading the operationalization of machine learning models. Your role involves deploying and maintaining scalable production systems, collaborating across teams, and utilizing big data technologies to refine audience targeting. Experience with ML lifecycle tools and strong software engineering skills are essential.

Benefits

100% remote within the US

Flexible vacation policy

Annual vacation allowance for travel related expenses

Three-day weekend every month of the year

Competitive compensation

100% healthcare coverage

401k plan

Flexible Spending Account (FSA) for dependent, medical, and dental care

Access to coaching, therapy, and professional development

Qualifications

• 5+ years of experience deploying and maintaining ML models in production.
• Experience with distributed systems, APIs, and backend services (Python, Java, Scala).
• Expertise in ML libraries (TensorFlow, PyTorch).

Responsibilities

• Own the full lifecycle of ML models in production.
• Build scalable data pipelines and production-grade ML services.
• Optimize ML model inference and training pipelines.

Skills

Software engineering skills

Machine learning lifecycle tools

Big data technologies

SQL

Excellent communication

Job description

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members, and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It's why we all really love working for the Hardest Working Software in Television (and also why we were named one of Ad Age's Best Places To Work in 2024.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social and helps brands drive measurable conversions, revenue, site visits, and more. It's what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We're committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.

The MNTN Targeting Group helps brands reach the right customers with software that turns petabytes of data into meaningful audience targeting strategies. Our engineers, data scientists and analysts build software that serves content to millions of people every day. You'll be joining the team working on MNTN Matched, our flagship machine learning product that is a critical revenue driver for the business.As a Senior Machine Learning Engineer, you will focus on operationalizing machine learning models by taking ownership of prototypes built by data scientists and turning them into robust, scalable production systems. You will lead the deployment, monitoring, and maintenance of ML solutions that power audience matching at scale. This role emphasizes strong software engineering practices, designing for reliability and performance, and working with large-scale data pipelines and infrastructure. You'll collaborate across functions to ensure models are not just accurate but production-ready, scalable, and cost-effective.What You'll Do:

• Own the full lifecycle of machine learning models in production, from POC handoff through deployment, performance tuning, and monitoring.
• Build scalable data pipelines and production-grade ML services using best practices in software engineering.
• Partner with data scientists to translate research prototypes into performant, maintainable code ready for production environments.
• Optimize ML model inference and training pipelines to handle petabyte-scale datasets efficiently.
• Collaborate closely with DevOps and infrastructure teams to ensure robust deployment, observability, and incident response strategies.
• Proactively identify system and model failure points, implement logging and alerting, and drive resolution of incidents.
• Lead technical design reviews and contribute to the evolution of ML architecture and tooling across the organization.
  
  

What You'll Bring:

• 5+ years of experience deploying and maintaining machine learning models in production, with a deep understanding of operational requirements.
• Strong software engineering skills and experience building distributed systems, APIs, and backend services (Python, Java, Scala, or similar).
• Experience working with big data technologies such as Spark, Hadoop, Kafka, and cloud platforms (AWS, GCP, or Azure).
• Expertise in machine learning lifecycle tools (MLflow, TFX, SageMaker, etc.) and libraries (TensorFlow, PyTorch, scikit-learn).
• Solid foundation in SQL and data manipulation with large-scale structured and unstructured datasets.
• Excellent communication skills and a strong sense of ownership, with the ability to collaborate across disciplines.
  
  

MNTN Perks:

• 100% remote within the US
• Flexible vacation policy
• Annual vacation allowance for travel related expenses
• Three-day weekend every month of the year
• Competitive compensation
• 100% healthcare coverage
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development
  
  

About MNTN:

Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you're contacted by someone without that address and they mention a Reference Code (which we never use), then that ain't us folks. Tell those trolls to take a hike–you're waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Build with Ferguson, OneWheel, Tarte, Decked, and National University.