Senior Machine Learning Engineer

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, CybersecurityIndustries

Requirements

Candidates must have over 5 years of experience in delivering ML applications to production and analyzing their performance for improvements. A strong theoretical background in statistical analysis, machine learning, and graph theory is required. A Bachelor's degree or equivalent in a relevant field is necessary, with a graduate level degree being an advantage. Experience with cloud-native architectures and deploying ML solutions on cloud platforms is essential. Excellent problem-solving and communication skills are a must, along with a highly curious mindset that allows for working backwards from customer value and delivering iterative value quickly.

Responsibilities

The Senior Machine Learning Engineer will develop and maintain core algorithms and services for multi-agent AI technology. They will deliver scalable, cloud-native architecture to production while optimizing algorithms for precision, recall, and cost. Collaboration with cross-functional teams to integrate ML solutions into the platform is crucial, as is ensuring the reliability of ML models in production. Continuous monitoring and improvement of model performance will also be part of the role.

Skills

Statistical Analysis

Machine Learning

Graph Theory

Problem-Solving

Communication

Cloud-Native Architectures

ML Solutions

Seek AI

Intelligent data analytics SaaS platform

About Seek AI

Seek AI provides a data analytics platform that enables organizations to ask questions and receive immediate analysis of their data. The platform automates complex data queries, allowing businesses to overcome data bottlenecks and streamline their data processes. This software-as-a-service (SaaS) model operates on a subscription basis, making it accessible for various organizations. Unlike many competitors, Seek AI focuses on enhancing data accessibility and usability, which helps data teams save time and make informed decisions more efficiently. The goal of Seek AI is to empower businesses with actionable insights that improve their operational efficiency.

New York City, New YorkHeadquarters

2019Year Founded

$11.7MTotal Funding

SEEDCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Remote Work Options

Paid Vacation

Paid Sick Leave

Mental Health Support

Flexible Work Hours

Risks

Competition from established players like Tableau and Power BI is intensifying.

Rapid technological advancements could render Seek AI's offerings obsolete without innovation.

Economic downturns may reduce client spending on SaaS platforms, affecting revenue.

Differentiation

Seek AI automates complex data queries, reducing reliance on specialized data teams.

The platform offers instant analysis, enhancing organizational efficiency and decision-making.

Founded by Sarah R. Nagy, the company leverages extensive experience in data product development.

Upsides

Increased demand for real-time data analytics boosts Seek AI's market potential.

Growing interest in AI-driven automation enhances Seek AI's value proposition.

Rising adoption of SaaS platforms supports Seek AI's subscription-based revenue model.

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