Job Description
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 clientsFortune 1,000 brands, professional sports, global agencies, and mediato accurately quantify the value of their partnerships, sponsorships, and activations.
About the Role:
We are seeking a talented and experienced Machine Learning Engineerto 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!
Job Tags
Full time, Remote job,