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Machine Learning Team Leader

Pay
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Conduct regular 1-on-1s, manage performance, and remove blockers for the team

  • Lead sprint planning, task prioritization, and resource allocation

  • Define model quality metrics, evaluation datasets, and release acceptance criteria

  • Guide design, training, fine-tuning, and evaluation of detection models

  • Ensure deployed models meet cloud, offline, air-gapped, and embedded constraints

From the employer’s posting
Conduct regular 1-on-1s to foster career development, provide continuous constructive feedback, remove blockers
leading task prioritization, sprint planning, and resource allocation
Define model quality metrics, evaluation datasets, and acceptance criteria
Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities
Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers

What you’ll bring

All qualifications

Core experience

  • Proven experience directly managing or leading technical teams, including conducting 1-on-1s, managing performance, and organizing daily workflows
  • Experience with model compression or quantization for offline and embedded environments
  • 3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection
  • Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks
Qualification wording
Proven experience directly managing or leading technical teams, including conducting 1-on-1s, managing performance, and organizing daily workflows
Experience with model compression or quantization for offline and embedded environments
3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection
Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks
Apply at OPSWAT

Posting record

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Open 3 monthsWe first saw this posting 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 3, 202692 days ago
Recorded sightings
68
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 92

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

OPSWAT is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • PyTorch
  • TensorFlow
Where the posting names them
- End-to-End Model Development: Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities (malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification) - Quality & Release Standards: Define model quality metrics, evaluation datasets, and acceptance criteria. Establish strict model release contracts (versioned, runtime-portable artifacts like ONNX, performance benchmarks) for the Java-based Aether backend - Production Readiness: Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers
- 3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection - Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks - Demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts

Your next step

Complete your application on www.opswat.com. The employer’s form will show what is required.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

The Position

Lead, mentor, and empower a team of ML Engineers to own model quality end-to-end—from initial experimentation to a production-ready, handoff-able artifact—for OPSWAT's AI/ML detection portfolio, spanning MetaDefender Aether (Threat Pattern Correlator, URL Reputation Predictor, Brand Spoofing Detector, and Web Threat Analyzer).

You Will Have an Opportunity to

  • People & Performance Management: Conduct regular 1-on-1s to foster career development, provide continuous constructive feedback, remove blockers, and ensure the team's overall well-being
  • Daily Work Organization: Drive the team's execution rhythms by leading task prioritization, sprint planning, and resource allocation to ensure predictable, high-quality delivery
  • Cross-Functional Representation: Champion the team's achievements and roadmap to stakeholders, acting as the primary technical liaison and aligning efforts with Data Science, Development, and Product management teams
  • Technical Roadmap Ownership: Lead model experimentation strategies, prioritizing architectural improvements based on measurable detection accuracy gains and business impact
  • End-to-End Model Development: Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities (malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification)
  • Quality & Release Standards: Define model quality metrics, evaluation datasets, and acceptance criteria. Establish strict model release contracts (versioned, runtime-portable artifacts like ONNX, performance benchmarks) for the Java-based Aether backend
  • Production Readiness: Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers

What We Are Looking for

  • Proven experience directly managing or leading technical teams, including conducting 1-on-1s, managing performance, and organizing daily workflows
  • 3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection
  • Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks
  • Demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts
  • Solid grounding in statistics and rigorous experiment design

Nice to have

  • Security ML domain experience (malware family classification, phishing detection, URL reputation)
  • Experience with model compression or quantization for offline and embedded environments

Why You'll Love Working Here

  • Innovative Environment: Join a team at the forefront of cybersecurity innovation. At OPSWAT, you'll have the opportunity to work with cutting-edge technologies and contribute to solutions that shape the future of cybersecurity.
  • Collaborative Culture: We foster a culture of collaboration, where every team member's input is valued. You'll have the chance to work alongside talented individuals who are passionate about cybersecurity and dedicated to making a difference.
  • Professional Growth: At OPSWAT, we prioritize the growth and development of our team members. You'll have access to ongoing training and development opportunities to enhance your skills and advance your career in cybersecurity.
  • Impactful Work: Join a mission-driven company that is committed to securing the digital world. Your work at OPSWAT will have a meaningful impact on organizations worldwide, protecting critical data and assets from evolving cyber threats.
  • Fun and Dynamic Atmosphere: We believe in fostering a fun and dynamic work environment. From team-building activities to social events, you'll have plenty of opportunities to connect with your colleagues and enjoy the journey together.

OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs 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 category protected by federal, state, or local laws.

Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.

 

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Budapest, Hungary

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