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Ai Algorithm Engineer Jobs in Oakland, CA (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Experience working on complex problems with algorithm-heavy code. * Commitment to quality and ...

Lyte

Senior PHY-Algo Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

We are seeking a Senior PHY Algorithm Engineer to join our team and contribute to the development ... For more information, visit www.lyte.ai If you're excited about building impactful technology in a ...

Harmonic

Software Engineer

Palo Alto, CA · On-site

They are seeking a talented Software Engineer to bridge the gap between AI research and product ... implement AI algorithms and develop scalable software applications. Responsibilities : • ...

Eko

Senior Algorithms Engineer

Emeryville, CA · On-site

$120K - $165K/yr

About Eko Health Eko builds AI and digital tools to enable every healthcare provider to more ... Own the f ull algorithm lifecycle : from clinical requirements and dataset curation through model ...

QuinStreet

Algorithms Engineer

Foster City, CA

$129K - $149K/yr

Our industry leading segmentation and AI-driven matching technologies help consumers find better ... QuinStreet, Inc. seeks Algorithms Engineer in Foster City, CA. Duties: Generate analytical insights ...

QuinStreet

Algorithms Engineer

Foster City, CA · On-site

$129K - $149K/yr

Our industry leading segmentation and AI-driven matching technologies help consumers find better ... QuinStreet, Inc. seeks Algorithms Engineer in Foster City, CA. Duties: Generate analytical insights ...

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Showing results 21-40

All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Oakland, CA

Ai Algorithm Engineer information

See Oakland, CA salary details

$68.3K

$128.2K

$233.1K

How much do ai algorithm engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai algorithm engineer in Oakland, CA is $128,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $152,200.00 per year, depending on experience, location, and employer.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Oakland, CA? For Ai Algorithm Engineer jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Oakland, CA look for? The top searched job categories for Ai Algorithm Engineer jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Ai Algorithm Engineer jobs? Cities near Oakland, CA with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you

AI Algorithms/Software Engineer

Mythic

Palo Alto, CA • On-site

$114K - $156K/yr

Full-time

Re-posted 9 days ago

Job description

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
The AI Engineering team
  • Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware.
  • Develops advanced quantization-aware and analog-aware retraining algorithms leveraging PyTorch and ONNX.
  • Hardens networks to analog effects via advanced network regularization.
  • Models analog effects and their impact on network performance.
  • Works cross-functionally to validate and debug hardware.
  • Contributes to the co-design of next-generation hardware.
  • Brings up and customizes neural networks.
Here's what you will do
  • Optimize Mythic's analog-aware software toolchain for network accuracy, latency, and ease-of-use.
  • Design algorithms and tools for Mythic's neural network conversion pipeline.
  • Build high-fidelity, computationally-efficient hardware models.
  • Contribute to silicon bring-up, debugging, and validation.
  • Improve software through refactoring, testing, documentation, and other engineering best practices.
  • Stay current with advances in deep learning research and neural network frameworks.
Here's the background you need to have
  • Bachelor's degree in Computer Science, Mathematics, or a related field.
  • 5+ years of software experience in a production environment.
  • Experience working on complex problems with algorithm-heavy code.
  • Commitment to quality and engineering excellence.
  • Strong communication skills.
The following would be nice to have
  • MS/PhD in Computer Science, Mathematics, or related field.
  • Hands-on experience with modern neural network frameworks.
  • Familiarity with state-of-the-art neural network architectures.
  • Experience training neural networks with hardware-aware techniques, including quantization, pruning, or model-size limitations.
  • Experience with MLOps practices, including model versioning, CI/CD pipelines for ML, model deployment, and monitoring.
  • Experience owning critical APIs with a large user base.
  • Contributions to open-source software.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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