[Remote] Sr. Machine Learning Engineer (Recommendation Systems)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on creating an innovative television experience through modern technology and machine learning. They are seeking a Senior Machine Learning Engineer to reputed company the development of their recommendation systems, enhancing user engagement by tailoring content discovery to individual preferences. This role involves collaborating with various teams to design and implement advanced algorithms that power the recommendation reputed company.
Responsibilities
- reputed company development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization
- Drive ML innovation at reputed company: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across reputed company and product areas
- Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment
- Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set reputed company expectations, and deliver measurable improvements in user engagement
- Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to reputed company state-of-the-art recommendation models
- Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback
- ML reputed company and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs
- Explore advanced architectures: Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus
Skills
- 8+ years of experience in backend engineering and/or data science, including 4+ years reputed company on machine learning. Experience with recommendation systems is a big plus
- Strong coding skills in Python, as reputed company as proficiency in using ML frameworks like PyTorch or TensorFlow
- Excellent analytical and problem-solving skills, with the ability to translate reputed company technical challenges into business solutions
- Proven reputed company record of leading reputed company and delivering impactful machine learning solutions
- Strong communication and documentation skills; capable of explaining reputed company, technical concepts to non-technical stakeholders and to diligently document your work to help reputed company as a whole learn and reputed company quickly
- Experience with reputed company SageMaker or similar MLOps platforms
- Experience with recommendation systems is a big plus
- Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus
Benefits
- Annual salary
- Company stock reputed company
- Health benefits
- Full health, dental and reputed company coverage for you and your family
- 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
- Flexible working hours
- Up to 20 weeks of fully reputed company parental leave
- Unlimited reputed company time off for vacation and reputed company leave
- $2,000 annual vacation bonus (we pay you to take a two week vacation)
- $5,250 annually for reputed company development and educational assistance
- $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
- $500/month ($6,000/year) bonus for employees who reputed company to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
- Free reputed company subscription — an reputed company-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
- Dog-friendly office
reputed company