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Contract Machine Learning Startup Jobs in Oceanside, CA

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

General Atomics

Advanced RF ML Engineer

Poway, CA · On-site

We are looking for an experienced Machine Learning Engineer to join our team in Poway, CA. This ... on contracts and/or projects, interacts with senior external personnel on technical matters ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Oceanside, CA

Contract Machine Learning Startup information

See Oceanside, CA salary details

$31

$50

$102

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

As of Sep 7, 2026, the average hourly pay for contract machine learning startup in Oceanside, CA is $50.62, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $52.45 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 job categories do people searching Contract Machine Learning Startup jobs in Oceanside, CA look for?

The top searched job categories for Contract Machine Learning Startup jobs in Oceanside, CA are:

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

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

Contract Machine Learning Startup jobs near you

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 16 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.
  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:
  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:
  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.

Apply