Senior Machine Learning Engineer

Acceler8 Talent; United States; Remote; USD 150,000 - 220,000; Full time

Job summary

Join a forward-thinking company transforming the insurance industry through AI. As a Senior Machine Learning Engineer, you will develop an innovative underwriting platform that empowers carriers with real-time insights. This role offers the chance to build scalable ML pipelines, optimize workflows, and work with cutting-edge technologies in a fully remote environment. With backing from prominent venture capital firms, you will have the opportunity to shape the future of insurance underwriting while mentoring junior team members in a fast-paced, innovative team.

Benefits

Fully remote work arrangement

Competitive salary

Opportunity to work with cutting-edge ML technologies

Leadership opportunities

Backing from prominent Bay Area VCs

Qualifications

• 5+ years of experience as an ML Engineer, focusing on LLM pipelines.
• Deep expertise in designing and training ML models, especially in NLP.

Responsibilities

• Develop scalable ML pipelines and optimize workflows.
• Fine-tune open-source LLMs to solve complex insurance challenges.

Skills

Machine Learning Engineering

Natural Language Processing (NLP)

LLM pipelines

Kubeflow

Cloud platforms

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Advanced degree preferred

Tools

Kubeflow

Cloud platforms

Job description

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This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $220,000.00/yr

Direct message the job poster from Acceler8 Talent

Senior Machine Learning Engineer - InsureTech - Remote, US/Canada

What Will I Be Doing:

Join a Series C established startup backed by leading Bay Area VCs that's transforming the insurance industry through AI. As a Machine Learning Engineer, you'll play a crucial role in developing an innovative underwriting platform that empowers carriers with real-time insights. You'll build scalable ML pipelines, optimize prompt engineering workflows, and fine-tune open-source LLMs to solve complex insurance challenges.

What We're Looking For:

• 5+ years of experience as an ML Engineer, with 3+ years focused on LLM pipelines
• Deep expertise in designing, training, and fine-tuning ML models, especially in NLP and LLMs
• Proficiency with scalable ML pipeline tools like Kubeflow and cloud platforms
• Strong background in automating and monitoring ML workflows in production environments
• Exceptional communication skills for translating complex technical concepts to diverse audiences
• Academic excellence and startup experience are highly valued

What's In It For You:

• Competitive salary ranging from $150,000 to $220,000 based on experience
• Fully remote work arrangement allowing maximum flexibility
• Opportunity to work with cutting-edge ML technologies
• Backing from prominent Bay Area venture capital firms
• Chance to shape the future of insurance underwriting
• Leadership opportunities including mentoring junior team members
• Work with a fast-paced, innovation-driven team

Please apply now for consideration!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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