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Junior Ai Machine Learning Python Jobs in Alameda, CA

Lynqex Labs

Senior AI Engineer

San Francisco, CA · On-site +1

$150K - $250K/yr

... junior engineers and contribute to technical documentation * 5 Stay current with the latest AI ... machine learning and AI development * Expertise in Python, TensorFlow, PyTorch, and other ML ...

Vagaro

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

Proficient in machine learning, deep learning, and generative AI techniques * Proficiency in Python * Some experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Vagaro

Jr. AI Engineer

Pleasanton, CA · On-site

$110K - $140K/yr

Proficient in machine learning, deep learning, and generative AI techniques * Proficiency in Python * Some experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... and is capable of mentoring junior engineers through their journey to become better.

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Junior Ai Machine Learning Python information

See Alameda, CA salary details

$52.7K

$107.2K

$160.9K

How much do junior ai machine learning python jobs pay per year?

As of Jul 14, 2026, the average yearly pay for junior ai machine learning python in Alameda, CA is $107,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $108,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Alameda, CA? For Junior Ai Machine Learning Python jobs in Alameda, CA, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Alameda, CA look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Alameda, CA are:
What cities near Alameda, CA are hiring for Junior Ai Machine Learning Python jobs? Cities near Alameda, CA with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

New

Job description

Job Description

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency.  This position is 100% Remote.

VP of Research, Machine Learning (ML) Responsibilities:

- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.

- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.

- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.

- Own alignment, safety, and guardrail strategy as first-class product concerns.

- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

- Shape early product intelligence direction in close partnership with product and application engineering.

- Set the technical bar for research rigor, judgment, and taste across the organization.

Qualifications

VP of Research, Machine Learning (ML) Qualifications:

- Deep experience building or evolving real Machine Learning (ML) systems used in production.

- Artificial Intelligence (AI) experience required.

- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.

- A builder's mindset, you care about systems that work in the real world, not just ideas.

- Comfortable making irreversible or high-impact decisions with incomplete information.

- Obsession with evaluation, correctness, and how systems behave over time.

- High ownership mentality; you operate as a founder, not a manager.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Research, Machine Learning (ML) in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.nextstepsystems.com.

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