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Braves Jobs in California (NOW HIRING)

Braves information

What is a Brave?

A Braves job typically refers to working for the Atlanta Braves, a Major League Baseball (MLB) team. Jobs can range from front office roles in marketing, finance, and operations to game day positions like ticket sales, concessions, and field maintenance. Some roles require prior experience, while others are entry-level. The Braves organization also offers internships and seasonal opportunities for those looking to gain experience in sports management.

What are some typical challenges faced by members of the Atlanta Braves' front office or support staff, and how do they work through them?

Members of the Atlanta Braves' front office and support staff often face the challenge of balancing long hours during the baseball season, especially with frequent travel and tight deadlines for player transactions or event planning. Teamwork and clear communication are essential, as departments like scouting, analytics, marketing, and operations must collaborate effectively to support both players and organizational goals. Adapting quickly to changes—such as roster moves or evolving league rules—is crucial, and the organization provides training and mentorship to help staff develop professionally while navigating these demands.

What are the key skills and qualifications needed to thrive as an Atlanta Braves baseball player, and why are they important?

To thrive as a professional baseball player for the Atlanta Braves, you need advanced athletic ability, strong baseball fundamentals, and prior experience in competitive leagues, often supported by collegiate or minor league play. Familiarity with player analytics software, video analysis tools, and strict training regimens is essential. Outstanding teamwork, mental resilience, and strong communication skills help players excel both on and off the field. These skills are crucial for maintaining high performance, adapting to competitive pressures, and contributing to the team's overall success.

What is the difference between Braves vs Coaches?

AspectBravesCoaches
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, coaching certifications often preferred
Work EnvironmentSports teams, training facilities, stadiumsSchools, sports clubs, community centers
Industry UsageAmateur or youth sports teams, community leaguesEducational institutions, youth sports programs
Common Search/ComparisonBraves vs Coaches

Braves are typically players or team members, focusing on playing and training, while coaches are responsible for training, strategy, and team management. Both roles are essential in sports but differ in responsibilities, credentials, and work environments.

What are the most commonly searched types of Braves jobs in California?

The most popular types of Braves jobs in California are:

What cities in California are hiring for Braves jobs?

Cities in California with the most Braves job openings:

Infographic showing various Braves job openings in California as of August 2026, with employment types broken down into 36% Full Time, 17% Part Time, 7% Temporary, and 40% Contract. Highlights an 52% Physical, 1% Hybrid, and 47% Remote job distribution.

AI/ML Workloads Engineer

Braves Technologies

San Jose, CA • On-site

Full-time

Re-posted 11 days ago


Job description

The Role: Senior/Staff/Principal Research/SW Engineer (ML Workloads)  


The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the Software team, you will be responsible for the development, enhancement, and maintenance of the development and testing infrastructure for development of next-generation AI hardware. This includes the software development repo, and the testing infrastructure for the Compiler, Kernels, and will utilize simulators, FPGAs, Emulation and the chip as test platforms. You are able to build and scale software deliverables in a tight development window.   You will work with a team of compiler and ML experts to build out the testing infrastructure working closely with other software and hardware experts in the company.


Qualifications 

Minimum: 

  • Computer Science, Engineering, Math, Physics or related degree
  • MS or PhD in Computer Science, Electrical Engineering, or related fields
  • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
  • Strong theoretical understanding of machine learning
  • Experience implementing and optimizing ML workloads and low-level software algorithms for specialized hardware such as FPGAs, DSPs, DL accelerators.
  • Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, BW and compute
  • Experience with ML Models from definition to deployment including training, quantization, sparsity, model preprocessing, and deployment
  • Proficient in Python development in Linux environment and using standard development tools
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow)
  • Experience training, tuning and deploying ML models for CV (ResNet,..), NLP (BERT, GPT), and/or Recommendation  Systems (DLRM)
  • Experience deploying ML workloads on distributed systems
  • Self-motivated team player with a strong sense of ownership and leadership

Desired: 

  • Research background with publication record in ML conferences such as ICML, NeurIPS, ICLR,...
  • Prior startup, small team or incubation experience
  • Work experience at a cloud provider or AI compute / sub-system company
  • Experience implementing SIMD algorithms on vector processors
  • Experience with open-source ML compiler frameworks such as MLIR