Machine Learning Engineer
4 weeks ago
This is a remote position.
The Principal ML Engineer will lead the development and deployment of machine learning (ML) models to support open-source intelligence (OSINT) gathering efforts. This individual will design and implement end-to-end ML pipelines, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment. They will collaborate with cross-functional teams to understand business needs and translate them into effective ML solutions.
Key Responsibilities:- Design and implement end-to-end ML pipelines for OSINT (Open Source Intelligence) gathering.
- Collaborate with security researchers, developers, and product managers to align ML solutions with business needs.
- Research and evaluate new ML techniques and technologies to improve the accuracy and efficiency of OSINT gathering for organizations or brands.
- Develop and maintain strong relationships with internal and external stakeholders, including customers and partners.
- Mentor and lead a team of ML engineers, offering technical guidance and support.
- Stay current with industry trends and best practices in ML and OSINT gathering.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5 years of experience in machine learning with a strong focus on open-source intelligence gathering.
- Proficient in Python and related ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience in data collection, preprocessing, and feature engineering techniques.
- Strong problem-solving and communication skills.
- Leadership and mentoring experience with a team of ML engineers is a plus.
- A quick thinker who takes ownership and pride in their work.
- Committed to excellence and continuous improvement.
- Enthusiastic with a strong sense of adventure and excitement.
- Excellent analytical, problem-solving, and interpersonal skills.
Our benefits include:
- Competitive Salary
- We offer a competitive salary that reflects your skills, experience, and contributions.
- Health and Wellness
- Comprehensive health, dental, and vision insurance plans.
- Paid Time Off
- Generous vacation days, paid holidays, sick leave, parental leave, and family care leave options.
- Professional Development
- Ongoing training and development programs, opportunities for career growth and promotions, reimbursement for professional certifications or advanced degrees.
- Work-Life Balance
- Flexible work schedules, remote work options, or hybrid work environments, support for a healthy work-life balance.
- Employee Stock Ownership Plan (ESOP)
- Opportunity to participate in the company's success through equity ownership.
- Additional Perks
- Company-sponsored events, team outings, and volunteer opportunities.
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