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Apprentice Graduate Python Developer Jobs in Menlo Park, CA

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain ... Recent graduate with a degree in CS, EE, AI/ML, or related field * Working knowledge of Python and ...

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain ... Recent graduate with a degree in CS, EE, AI/ML, or related field * Working knowledge of Python and ...

Optical Engineer

Santa Clara, CA · On-site

$120K - $200K/yr

The Sr/Staff/Principal Optical Engineer works in an aggressive, fast-paced R&D environment to ... like Matlab, or Python, Excel etc. * Good communication skills, good at team work. * Graduate ...

Optical Engineer

Santa Clara, CA · On-site

$120K - $200K/yr

Overview: The Sr/Staff/Principal Optical Engineer works in an aggressive, fast-paced R&D ... like Matlab, or Python, Excel etc. * Good communication skills, good at team work. * Graduate ...

Overview: The Sr/Staff/Principal Optical Engineer works in an aggressive, fast-paced R&D ... like Matlab, or Python, Excel etc. * Good communication skills, good at team work. * Graduate ...

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Apprentice Graduate Python Developer information

See Menlo Park, CA salary details

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$69

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How much do apprentice graduate python developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for apprentice graduate python developer in Menlo Park, CA is $69.08, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.
What cities near Menlo Park, CA are hiring for Apprentice Graduate Python Developer jobs? Cities near Menlo Park, CA with the most Apprentice Graduate Python Developer job openings:
Infographic showing various Apprentice Graduate Python Developer job openings in Menlo Park, CA as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Physical job distribution, with an average salary of $143,692 per year, or $69.1 per hour.
Staff AI Researcher for Ecogical and Industrial Optimization

Staff AI Researcher for Ecogical and Industrial Optimization

X, The Moonshot Factory

Mountain View, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
X, The Moonshot Factory is a diverse group of inventors and entrepreneurs focused on creating technologies that address significant global challenges. The role involves leading the development of advanced AI models for ecological and industrial optimization, bridging the gap between AI research and practical applications.
Responsibilities:
• Drive innovation in modeling techniques across varied scientific and technoeconomic fields.
• Develop technologies to automate the generation of mechanistic, physics-inspired and operator models of various real-world phenomena.
• Create methodologies for large-scale, global designs utilizing these models.
• Utilize Earth Foundation Models and scalable geospatial tech to build models that detect natural phenomena and their temporal dynamics.
• Partner with scientists and engineers to convert research into production-grade solutions using GCP and MLOps, facilitating robust experimentation and client delivery.
• Engineer advanced agentic systems to interpret real-world data, produce task-specific algorithms, and support users in reaching climate goals.
• Keep pace with the rapid evolution of ML, specifically focusing on generative and multi-modal systems.
• Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making things happen.
Qualifications:
Required:
• Graduate degree (Master's or PhD) in Engineering, Computer Science, or a comparable technical discipline.
• 6+ years of professional experience in the design, development, and deployment of machine learning solutions.
• Demonstrated proficiency in training deep learning, generic, and domain-specific mechanistic models (e.g., biological or physical).
• Practical experience working with LLMs, Earth Foundation Models, and multi-modal systems like VLMs.
• Strong Python programming abilities and a solid grasp of software engineering best practices.
• Familiarity with MLOps/DevOps tools and methodologies, including Vertex AI, Kubernetes, and CI/CD pipelines.
Preferred:
• Prior experience thriving in small-team or startup environments.
• Background knowledge in climate science, ecosystem dynamics, or economics.
• A record of published research in pertinent academic fields.
Company:
X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet. Founded in 2010, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.