Software Engineer (Technical Leadership)

Devconnectplatform; United States; À distance; USD 180 000 - 260 000; Plein temps

Résumé du poste

Meta is seeking a Software Engineer (Technical Leadership) to guide a team across Python, Java, and C++ projects, delivering scalable ML-driven solutions for massive social data and prediction tasks. The role emphasizes leading technical direction, collaboration with leaders, and staff prioritization.

The ideal candidate has 12+ years with Python/C++/Java and 8+ years in ML areas, with a track record of shipping impact across organizations. This is a remote, senior role based in the USA.

Qualifications

• Bachelor's degree or equivalent in CS/engineering or related field.
• Experience leading projects with industry-wide impact.
• 12+ years of programming in Python, C++, or Java.
• 8+ years in ML, recommendation systems, pattern recognition, data mining or deep learning.

Responsabilités

• Drive the team's goals and technical direction to pursue opportunities that improve organizational efficiency.
• Communicate complex features and systems clearly across teams and stakeholders.
• Collaborate with organization leaders to enhance team and system performance.
• Identify opportunities for staffing and prioritizing new ideas across the organization.
• Propose requirements and build an effective feature roadmap for scalable solutions.
• Develop highly scalable classifiers and ML tools for large-scale data.

Connaissances

Python

C++

Java

Machine learning

Recommendation systems

Pattern recognition

Data mining

Deep learning

Formation

Bachelor's degree or equivalent

Description du poste

# Software Engineer (Technical Leadership)MetaSalary not statedFull-timeremote· seniorUSApythonjavaListed via Jobicy · posted 15 Oct 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionMeta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.ResponsibilitiesDrive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.\\* Effectively communicate complex features & systems in detail.\\* Understand industry & company-wide trends to help assess & develop new technologies.\\* Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.\\* Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.\\* Suggest, collect and synthesize requirements and create an effective feature roadmap.\\* Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.\\* Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.\\* Experience leading projects with industry-wide impact.\\* Experience communicating and working across functions to drive solutions.\\* Experience in mentoring/influencing engineers across organizations.\\* Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.\\* Experience in driving large cross-functional/industry-wide engineering efforts.\\* 12+ years of experience in programming languages (Python, C++, or Java) with technical background.\\* 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. Experience in shipping products to millions of customers or have started a new line of product.