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Machine Learning Engineer- Predictive Modeling, Early Career
$104,500 - $149,000/Yr
Viasat - Carlsbad, CA
posted about 1 month ago
Full-time - Entry Level
Carlsbad, CA
1,001-5,000 employees
Computer and Electronic Product Manufacturing
About the position
The Machine Learning Engineer will be responsible for designing, developing, and deploying innovative systems that enhance customer experience and optimize satellite capacity utilization. This role involves working with large datasets, building machine learning models, and ensuring the production quality of software services within the network.
Responsibilities
- Develop data analysis pipelines and queries to analyze customer experience and optimize resource allocation efficiency.
- Envision, design, and build optimization systems using control systems, machine learning, and software design.
- Aggregate, clean, and transform data from multiple systems to support decision-making services.
- Collaborate with a diverse team of domain experts and ML/software developers in product planning, design, and implementation.
- Communicate and present complex data analyses and insights to both technical and non-technical stakeholders.
- Deploy and maintain applications in production, ensuring high availability, scalability, and reliability.
Requirements
- Completion of Bachelor's or higher between May 2023-September 2025 in Computer Science, Computer Engineering, Software Engineering, or related field.
- Experience using Python, including Pandas, and SQL.
- Knowledge of optimization techniques such as linear programming, simulated annealing, genetic algorithms, and reinforcement learning.
- Knowledge of classification techniques including regression, decision trees, random forests, Naïve Bayes, KNN, SVMs, gradient boost, and neural networks.
Nice-to-haves
- Previous Viasat internship experience.
- Knowledge of NumPy, JAX, Tensorflow, and similar tools for implementing scalable optimization models.
- Deep understanding of delivering high-quality video streaming over networks, especially over geo-satellite networks.
- Understanding of layer 2 and layer 3 networking.
Benefits
- Relocation assistance available pending eligibility.
- Flexible work environment with onsite/hybrid options.
