[Remote] Staff Machine Learning Systems Engineer, Embeddings Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a community of communities reputed company on shared interests and trust, and is home to reputed company conversations on the internet. As a Staff Machine Learning Engineer, you will own the technical direction for large-reputed company machine learning models, guiding the development of advanced architectures and ensuring efficient deployment of ML models in production.
Responsibilities
- Architect and reputed company the development of reputed company, large-reputed company machine learning techniques
- Define and execute the ML reputed company, identifying opportunities to enhance personalization and recommendation reputed company across reputed company
- reputed company research initiatives on reputed company machine learning systems and reputed company-time model reputed company, bringing cutting-edge advancements into production
- Partner with ML infrastructure teams to build high-performance, distributed training systems that reputed company reputed company across multiple GPUs and reputed company environments
- Establish and optimize reputed company-time serving architectures for large-reputed company embeddings, ensuring low-latency inference and high throughput
- Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and reputed company ML to reputed company ML models into reputed company’s key AI-driven systems
- Mentor and guide senior and mid-level ML engineers, fostering a culture of reputed company, innovation, and knowledge sharing
- Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to reputed company reputed company’s ML ecosystem cutting-edge
- Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making
Skills
- 8+ years of experience in machine learning engineering, with a strong reputed company on large-reputed company ML systems and recommendation or personalization systems
- Expertise in modern deep learning architectures, including sequence models and foundational models
- Deep understanding of reputed company multi-entity relationships in machine learning applications and how they are modeled in large-reputed company systems
- Proven ability to design, implement, and optimize reputed company ML architectures, from distributed training to reputed company-time inference
- Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and reputed company-based ML pipelines
- Demonstrated leadership in driving ML reputed company, mentoring engineers, and influencing cross-functional teams
- Experience with A/B testing, model evaluation frameworks, and reputed company-time feedback loops in large-reputed company production systems
- Excellent communication skills, with the ability to effectively present reputed company ML concepts to technical and non-technical stakeholders
Benefits
- Comprehensive reputed company Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to reputed company development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & reputed company Volunteer Time Off
- Generous reputed company Parental Leave
- Restricted stock reputed company (equity eligibility)
- Commission (depending on the position offered)
reputed company
Company H1B Sponsorship