Senior Machine Learning Engineer

Jobot; Albuquerque (NM); Remote; USD 180,000 - 225,000; Full time

Benefits offered by this job

Unlimited PTO

WFH Stipend

Meaningful equity

Competitive Compensation

Complex Technical Challenges

Job summary

An established industry player is seeking an experienced Machine Learning Engineer to join their dynamic team. This fully remote position offers the chance to work on cutting-edge AI/ML solutions that transform complex datasets. You will design and implement scalable infrastructure, develop innovative models, and collaborate across teams to enhance product capabilities. If you thrive in a fast-paced environment and are passionate about Generative AI advancements, this is the perfect opportunity for you to make a significant impact in the AI industry.

Qualifications

• 5+ years of experience in machine learning and software development.
• Expert proficiency in Python and strong problem-solving skills.

Responsibilities

• Design and implement scalable machine learning infrastructure.
• Develop machine learning models and integrate GAI into pipelines.

Skills

Machine Learning

Python

Generative AI

Problem-Solving

Tools

GitHub

Job description

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Base pay range

$180,000.00/yr - $225,000.00/yr

Job details

Fully Remote, well-funded AI startup with a Greenfield platform. Excellent benefits, cutting edge project!

This Jobot Job is hosted by Grant Greenhalgh

Salary $180,000 - $225,000 per year

A Bit About Us

Join a high-energy, fast-paced AI start-up that is set to disrupt the industry! We are pioneering cutting-edge AI/ML solutions that transform how large, complex datasets are consumed, interpreted, and utilized. If you are passionate about innovation, thrive in a dynamic environment, and are eager to stay at the forefront of Generative AI (GAI) advancements, this is the perfect opportunity for you.

Why join us?

• Fully Remote
• Complex Technical Challenges
• Meaningful equity
• Unlimited PTO
• WFH Stipend
• Competitive Compensation

Job Details

We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture that supports the consumption and interpretation of vast, complex document corpora, each with a variety of encoded rules. You will work extensively with these documents, modern AI/ML tools, and GAI infrastructure, while collaborating across frontend and backend teams to ensure rapid iteration and deployment of AI solutions.

Responsibilities

• Design and implement scalable machine learning infrastructure to support the ingestion, processing, and interpretation of data
• Architect robust systems that accommodate various encoded rules, ensuring accuracy and compliance in AI/ML outputs.
• Develop machine learning models, particularly in the context of knowledge graphs, to enhance the interpretation of complex datasets.
• Implement evaluation frameworks to assess model performance, iterating rapidly based on feedback and results.
• Leverage your deep knowledge of Generative AI (GAI) to stay ahead of industry trends and ensure our solutions are cutting-edge.
• Integrate GAI into existing and new machine learning pipelines, enhancing the overall capability of our products.
• Utilize modern version control systems (e.g., GitHub) to manage code repositories, pushing best practices in code quality.

Qualifications

• 5+ years of experience in machine learning and software development, with a focus on AI/ML infrastructure
• Proven expertise in working with Generative AI (GAI)
• Expert proficiency in Python, with experience in cross-language collaboration and codebase management.
• Strong experience with modern version control systems (e.g., GitHub).
• Advanced knowledge of AI/ML model development, evaluation, and rapid iteration.
• Strong problem-solving skills, with the ability to architect and implement scalable solutions for complex problems.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.