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Contract Machine Learning Startup Jobs in Castaic, CA

AI/ML Architect

Los Angeles, CA ยท On-site

$68.75 - $88.25/hr

Contract Need 15+ years of experience resumes. Role Overview We are seeking an experienced AI/ML ... machine learning platforms. The ideal candidate combines architectural thinking with strong ...

Senior Software Engineer - Remote

Los Angeles, CA ยท Remote

$132K - $174K/yr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Senior Data Architect

Los Angeles, CA ยท On-site

$128K - $298K/yr

... machine learning, and emerging generative AI capabilities across the organization. In this role ... Contracts may convert to a Career position. Job Qualifications Press space or enter keys to toggle ...

... a startup, backed by the immense resources and global reach of Netflix. We offer a unique ... The Role We are seeking a Machine Learning Researcher to define the next generation of creative ...

... a startup, backed by the immense resources and global reach of Netflix. We offer a unique ... The Role We are seeking a Machine Learning Researcher to define the next generation of creative ...

Technical Recruiter

Los Angeles, CA ยท On-site

$75K - $150K/yr

Bachelor's degree * 1+ years of technical recruiting experience in software, machine learning ... Experience recruiting for a startup or deep tech environment * Experience with executive search or ...

Technical Recruiter

Los Angeles, CA ยท On-site

$75K - $150K/yr

Bachelor's degree * 1+ years of technical recruiting experience in software, machine learning ... Experience recruiting for a startup or deep tech environment * Experience with executive search or ...

... a startup, backed by the immense resources and global reach of Netflix. We offer a unique ... The Role We are seeking a Machine Learning Researcher to define the next generation of creative ...

... a startup, backed by the immense resources and global reach of Netflix. We offer a unique ... The Role We are seeking a Machine Learning Researcher to define the next generation of creative ...

Bachelor's degree * 1+ years of technical recruiting experience in software, machine learning ... Experience recruiting for a startup or deep tech environment * Experience with executive search or ...

Software Eng II Embedded

Moorpark, CA ยท On-site

$82K - $125K/yr

... projects, or startup work. New and recent graduates from top programs are encouraged to apply ... Exposure to computer vision, machine learning, or sensor integration on embedded systems

Rowe Price -- and with over $1 billion in signed contracts across commercial and US government ... Keep the Machine shop organized and running smoothly through 5S practices * Provide feedback for ...

Showing results 41-60

Contract Machine Learning Startup information

See Castaic, CA salary details

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$97

How much do contract machine learning startup jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for contract machine learning startup in Castaic, CA is $48.34, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $50.10 per hour, depending on experience, location, and employer.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What cities near Castaic, CA are hiring for Contract Machine Learning Startup jobs?

Cities near Castaic, CA with the most Contract Machine Learning Startup job openings:

Edge Compute and Data Center Architect

Freeform

Los Angeles, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

EDGE COMPUTE AND DATA CENTER ARCHITECT

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. 

In this role, you will architect and build the compute infrastructure and connectivity backbone for a new class of AI-native metal 3D printing factories. Each node in the factory integrates dense GPU clusters and generates massive, high-frequency data streams that must be processed in real time on the edge. You will design systems spanning heterogeneous compute (CPU/GPU), high-bandwidth interconnects (e.g., NVLink, InfiniBand), and distributed data platforms to support both real-time control loops and large-scale data processing. You will oversee both on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security. This is a unique opportunity to build advanced compute systems and scale them from a single deployment into a globally distributed platform. 

Responsibilities: 

  • Architect and scale state-of-the-art edge compute and storage systems for a big-data infrastructure, enabling Freeform to perform real-time machine learning on the edge as well as store petabytes of physics-based data for inference
  • Lead the design, deployment, and maintenance of on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security of IT systems
  • Optimize and manage virtualization and containerization technologies
  • Design, implement, and manage the company's networking infrastructure, ensuring robust connectivity, performance optimization, and security across all network layers
  • Implement and manage comprehensive security protocols to protect data, systems, and infrastructure. Conduct regular security audits and vulnerability assessments to ensure the highest levels of protection
  • Ensure infrastructure is built and scaled with cost and resource efficiency in mind
  • Ensure compliance with industry standards and regulations for network security operations such as NIST and ITAR

Basic Qualifications: 

  • Bachelor's degree in electrical engineering, computer engineering, or network engineering
  • 5+ years of enterprise level data center engineering experience
  • Heterogenous compute/data center infrastructure experience (CPUs, GPUs, traditional servers and storage)
  • Strong knowledge of both on-premises and cloud-based infrastructure

Nice to Have: 

  • 10+ years of overall industry experience
  • Experience with high-speed data
  • Experience with Infiniband or similar high-bandwidth communication systems
  • Experience scaling infrastructure for a startup environment
  • Experience developing and implementing edge-compute capabilities such as data center infrastructure for ground stations, IoT, or similar hardware-centric operations
  • Excellent leadership and team management skills
  • Strong problem-solving and decision-making abilities
  • Excellent communication and interpersonal skills
  • Understanding of security protocols and compliance standards, such as NIST 800-171 and ITAR

Location: 

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. 
  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

Why Freeform? 

  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology
  • Benefits 
    • Significant stock option packages 
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) 
    • Life insurance 
    • Traditional and Roth 401(k) 
    • Paid vacation, sick leave, and company holidays 
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent 
    • Free daily catered lunch and dinner, and fully stocked kitchenette 
    • Casual dress, flexible work hours, and regular catered team building events 
  • Compensation   
    • As an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. 
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.