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Mid Level Game Developer Jobs in California (NOW HIRING)

Tetra Tech

Structural Engineer IV

San Bernardino, CA · On-site +1

Tetra Tech is adding a Mid-Level Structural Engineer to our Structural Engineering team. This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of locations across ...

Bennett Engineering

Traffic Mid-Level Engineer

Milpitas, CA · On-site

$100K - $145K/yr

Traffic Engineer, Project Mid-Level Position Summary BENEN seeks a Traffic Engineer at the project level to support and lead the delivery of traffic engineering projects for public infrastructure and ...

W3Global Inc.

Mid Level Interior Designer

San Jose, CA

$70K - $90K/yr

We work on exciting developer, corporate, and high-technology projects in Silicon Valley and we ... Role Overview We're looking for a talented mid-level Interior Designer-Mid Level This is a great ...

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

About the Role This is a mid-level AI Engineer role on the core product team, focused on building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains.

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All JobsMid Level Game Developer JobsMid Level Game Developer Jobs in California

Mid Level Game Developer information

See California salary details

$32.1K

$107K

$177.6K

How much do mid level game developer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for mid level game developer in California is $107,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $122,400.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Game Developer jobs in California? The most popular types of Game Developer jobs in California are:
What cities in California are hiring for Mid Level Game Developer jobs? Cities in California with the most Mid Level Game Developer job openings:
Mid Level Game Developer jobs near you

AI Software Engineer (Mid-Level)

Fullscope

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI Software Engineer (Mid-Level)
Location: San Francisco, CA
Required Clearance: Secret
Salary: Competitive
We are seeking a talented and motivated Mid-Level AI Software Engineer to join our AI team. The ideal candidate will have a solid foundation in software engineering and a passion for applying AI techniques to solve complex problems. You will be responsible for designing, developing, and implementing AI-driven applications and systems that align with our strategic goals.
Key Responsibilities:
  • Minimum 7 years' experience.
  • Design, develop, and implement AI models and algorithms to address various business challenges.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Develop and maintain AI pipelines and infrastructure to support model training, evaluation, and deployment.
  • Integrate AI models into production systems and monitor their performance.
  • Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
  • Stay updated with the latest advancements in AI and machine learning and apply relevant techniques to projects.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience as a Software Engineer with a focus on AI or machine learning.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, data structures, and software design principles.
  • Experience with data processing tools like Pandas and NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment.
  • Knowledge of DevOps practices and tools like Docker, Kubernetes, and CI/CD pipelines.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Previous experience in a fast-paced, innovative environment.

Apply