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Urgently Hiring Machine Learning Startup Jobs (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... The Data Science team is hiring an experienced Machine Learning Engineer with a background building ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Keebo

Senior Machine Learning Engineer

$125K - $165K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... This policy applies to all terms and conditions of employment, including recruiting, hiring ...

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$25.5K

$42.6K

$88K

How much do urgently hiring machine learning startup jobs pay per year?

As of Jun 10, 2026, the average yearly pay for urgently hiring machine learning startup in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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Urgently Hiring Machine Learning Startup jobs near you
Infographic showing various Urgently Hiring Machine Learning Startup job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Applied Machine Learning Engineer

Fireworks AI

San Mateo, CA • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with scalable inference. The Applied Machine Learning Engineer role focuses on developing and operationalizing machine learning models to drive business value and enhance user experiences through collaboration and hands-on engineering.
Responsibilities:
• Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into the existing platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills required, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
• Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience working in a startup or fast-paced environment.
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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