Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Seven AI

Seven AI

Cybersecurity

Senior

Company Does Not Provide H1B Sponsorship

Boston, MA, USA

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Data Structures & Algorithms
Machine Learning

You match the following Seven AI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 5+ years of experience in delivering ML applications to production, analyzing their performance and driving improvements.
  • Strong theoretical background in statistical analysis, ML, and graph theory.
  • Bachelor's degree or equivalent in a relevant field. Graduate level degree is an advantage.
  • Experience with cloud-native architectures and deploying ML solutions on cloud platforms.
  • Excellent problem-solving and communication skills.
  • Highly curious. Able to work backwards from customer value and deliver iterative value quickly.
Responsibilities
  • Develop and maintain core algorithms and services for our multi-agent AI technology.
  • Deliver scalable, cloud-native architecture to production.
  • Optimize algorithms for precision, recall, and cost.
  • Collaborate with cross-functional teams to integrate ML solutions into our platform.
  • Ensure the reliability of ML models in production.
  • Continuously monitor and improve model performance.

Company Size

N/A

Company Stage

Seed

Total Funding

$35M

Headquarters

Boston, Massachusetts

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-driven security solutions enhances 7AI's market potential.
  • Increased investment in AI security startups indicates strong market confidence in 7AI.
  • The rise of swarming AI agents aligns with industry trends, benefiting 7AI.

What critics are saying

  • Riot's $30 million funding round could overshadow 7AI's offerings.
  • Market saturation from rapid AI adoption may challenge 7AI's differentiation.
  • Reliance on AI agents raises concerns about potential vulnerabilities if systems fail.

What makes Seven AI unique

  • 7AI's platform uses autonomous AI agents for repetitive security tasks.
  • The agentic security platform allows cybersecurity professionals to focus on high-value tasks.
  • 7AI's swarming AI agents offer unprecedented security outcomes by handling non-human work.

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Company News

The CyberWire
Feb 12th, 2025
Business Briefing for 02.12.25

San Francisco-based employee security posture management platform Riot has raised $30 million in a Series B round led by Left Lane Capital, with participation from existing investors Y Combinator, Base10, and FundersClub.

SecurityWeek
Feb 6th, 2025
7AI Launches With $36 Million in Seed Funding for Agentic Security Platform

7AI has launched an agentic security platform, which uses AI agents to handle repetitive tasks.

PR Newswire
Feb 5th, 2025
7Ai Launches Agentic Security Platform - Offloading Non-Human Work To Swarming Ai Agents For Unprecedented Security Outcomes

Cybersecurity Innovator Empowers Security Teams to Focus on High-Value Tasks While AI Agents Handle Repetitive, Tactical Yet Essential WorkBOSTON, Feb. 5, 2025 /PRNewswire/ -- The agentic security revolution is here. Today, 7AI announced the launch of the industry's first agentic security platform, redefining security operations by offloading essential "non-human work" to autonomous AI agents. Unlike AI SOC analysts, chatbots, or co-pilots, 7AI's system of specialized AI agents handles repetitive security tasks—quickly, comprehensively, and autonomously—freeing highly-trained cybersecurity professionals to focus on high-value work that improves security outcomes.In every cybersecurity team, employees spend time on essential work that doesn't require human creativity: triaging alerts, enriching signals, correlating telemetry, searching for known threats, and more. These tasks are vital but time-consuming, making them ideal for AI agents.7AI transforms this dynamic by deploying autonomous swarming agents to handle non-human work at scale:Categorization and Dispatch: AI agents determine which type of threat an alert pertains to, with examples including EDR, Cloud, Email, and Identity solutions. 7AI dispatches AI agents accordingly