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Contract Machine Learning Startup Jobs in California

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

... startup environment Qualifications : Required : • 6+ years of professional experience building production machine-learning software systems • Proven experience owning ML systems long enough to ...

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

... startup environment Qualifications : Required : • 6+ years of professional experience building production machine-learning software systems • Proven experience owning ML systems long enough to ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... the startup world. - Data-obsessed . We all look at data and pull it, and we believe that ...

Bobyard

Head of Machine Learning

San Francisco, CA · On-site

Led a world-class ML team. • Startup work ethic: Not a cushy big-tech director role. • Learning machine: Fine-tuning new architectures same day. Company : AI cost estimates for construction ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $400K/yr

About the role We're looking for Machine Learning Engineers to help build our platform for training ... Startup or frontier lab experience in fast-moving teams. Our values Goodfire is looking for ...

Adobe

Machine Learning Engineer 5

San Jose, CA

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

Adobe, Inc.

Machine Learning Engineer 5

San Jose, CA · On-site

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary ... Hum is a seed-funded startup on a mission to create positive impact through earth observation and ...

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Contract Machine Learning Startup information

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

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 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 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 are the most commonly searched types of Machine Learning Startup jobs in California? The most popular types of Machine Learning Startup jobs in California are:
What are popular job titles related to Contract Machine Learning Startup jobs in California? For Contract Machine Learning Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in California look for? The top searched job categories for Contract Machine Learning Startup jobs in California are:
What cities in California are hiring for Contract Machine Learning Startup jobs? Cities in California with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Attentive

San Francisco, CA • On-site

$123.10K - $169.10K/yr

Full-time

Posted 21 days ago

Job description

Job Summary:
Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
Responsibilities:
• Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
• Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
• Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
• Continuously improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
• Thrive in a high-impact, fast-paced, late-stage startup environment
Qualifications:
Required:
• 6+ years of professional experience building production machine-learning software systems
• Proven experience owning ML systems long enough to see the downstream impact of design decisions
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
• Experience collaborating with cross-functional teams to deliver ML-powered features
• Strong communication skills and a high sense of ownership
Company:
Attentive is a personalized mobile messaging platform that facilitates businesses with AI powered SMS and e-mail marketing solutions. Founded in 2016, the company is headquartered in Hoboken, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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