About MVP:

Headquartered in the heart of Austin, Texas, MVP is the best-in-class SaaS measurement platform that provides omnichannel media and sponsorship valuation. We offer a built-to-scale software for our clients--Fortune 1,000 brands, professional sports, global agencies, and media--to accurately quantify the value of their partnerships, sponsorships, and activations.

About the Role:

We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a crucial role in designing, implementing, and optimizing machine learning models and algorithms. You will collaborate closely with cross-functional teams to develop scalable solutions that drive business outcomes and enhance our products and services.

Estimated Salary: $120,000 depending on background and experience

Key Responsibilities:

Research, design, and implement machine learning algorithms and models to address business challenges and opportunities
Collaborate with data engineers and data scientists to gather, preprocess, and analyze large datasets
Develop and optimize machine learning pipelines for tasks such as data cleaning, feature selection, model training, and evaluation
Experiment with different machine learning techniques and algorithms to optimize model performance and accuracy
Deploy machine learning models into production environments and monitor their performance over time
Implement best practices for data governance, model deployment, and version control
Stay current with the latest advancements in machine learning research and apply relevant techniques to our solutions
Provide technical guidance and mentorship to junior team members on machine learning methodologies and best practices

Required Skills and Qualifications:

Bachelor's, Master's, or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
5 years of experience working as a Machine Learning Engineer, Data Scientist, or in a similar role
Proficiency in programming languages such as Python (preferred), R, or Java, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, scikit-learn, or similar
Strong understanding of machine learning algorithms, statistical analysis, and data modeling techniques
Well versed in SQL
Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud for deploying and scaling machine learning solutions
Solid knowledge of software engineering principles, including version control, testing, and deployment
Excellent problem-solving skills and ability to work both independently and as part of a team
Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders
Experience with agile software development methodologies and tools such as Jira and Confluence

Preferred Qualifications:

Previous experience working in industries such as sports property, marketing agency, brand, entertainment or media
Experience with cloud-based AI frameworks such as AWS Sagemaker and Azure Machine Learning
Familiarity with deep learning techniques and architectures (e.g., CNNs, RNNs)
Contributions to open-source projects or publications in relevant conferences or journals
Certification in machine learning or related fields

What You’ll Get:

Competitive compensation
Unlimited paid time off policy
Remote / Greater Austin Area (we have get togethers on occasion in Austin so bonus if you’re a drive away)
Competitive health insurance premiums (medical, dental, & vision)
A unique opportunity to revolutionize the sports and entertainment sponsorship industry
Scale your career along with a fast growing organization that has significant growth opportunities
The ability to work with a team of talented, fun, and hard-working colleagues in a highly collaborative culture

We are an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all our MVP employees.

Please note: MVP is interviewing for a full-time W-2 employee; we are not considering C2C or C2H opportunities at this time. Applicants must complete all required pre-hire questions for their application to be reviewed. Thank you for your cooperation and for your interest in working for MVP. We can't wait to learn more about you!

MVP

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Machine Learning Engineer