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

Staffingine LLC

AI Engineer

Woodland, CA · On-site

AI Engineer Job Location: Woodland - California Job Type: Contract ... Design develop and deploy machine learning models and algorithms using Python Lead data science ...

Pwc

AI Engineer

Sacramento, CA · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Pwc

AI Engineer

Sacramento, CA · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... Within our Internal Firm Services practice, you will apply data, algorithms, and software ...

Intel

AI Performance Library Architect

Folsom, CA

$170K - $315K/yr

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN ... algorithms (functions from BLAS, LAPACK, or PyTorch) * Performance engineering and software ...

Intel

AI Software Engineering Intern

Folsom, CA

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... Accuracy validation of floatingpoint algorithms * Software libraries design and architecture ...

Pwc

AI & GenAI Data Scientist-Director

Sacramento, CA · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Intel

Sr. Machine Learning Engineer

Folsom, CA

$111K - $153K/yr

We believe transformative AI should have a positive impact on people-powerful in capability, yet ... algorithms for agent harness and post-training pipelines, develops RL environments and reward ...

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

Ai Algorithm Engineer information

See Sacramento, CA salary details

$63.4K

$119K

$216.5K

How much do ai algorithm engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for ai algorithm engineer in Sacramento, CA is $119,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $141,300.00 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.
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Ai Algorithm Engineer jobs near you

AI Engineer

Staffingine LLC

Woodland, CA • On-site

Contractor

Re-posted 14 days ago

Job description

Job Title: AI Engineer
Job Location: Woodland - California
Job Type: Contract

Job Description:

  • Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  • Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  • Collaborate with stakeholders to define key performance indicators and success metrics Optimize existing data science workflows and models for better performance and accuracy
  • Document methodologies code and findings to ensure reproducibility and knowledge sharing
  • Support the integration of data science solutions into production environments
  • Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Scienc