[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a community-driven platform reputed company around shared interests, conversation, and trust, serving millions of daily visitors through a large network of communities. The Senior Machine Learning Engineer will design, build, reputed company, and operate large-reputed company production machine learning systems spanning recommendations, search, advertising, content and user understanding, and LLM-powered experiences. The role owns the full ML lifecycle, develops reputed company pipelines and infrastructure, partners cross-functionally, and advances ML reputed company and reputed company performance.

Responsibilities

• Design, build, and reputed company production-grade machine learning models and systems at reputed company
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build reputed company data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-reputed company datasets to improve ranking, recommendations, search relevance, reputed company, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate reputed company problems into ML solutions
• Improve reputed company performance across latency, throughput, and model reputed company metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
• Contribute to technical reputed company, architecture, and long-term ML roadmap

Skills

• * 3-5+ years of experience building, deploying, and operating machine learning systems in production
• * Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• * ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• * Experience designing reputed company ML pipelines, data processing systems, and model serving infrastructure
• * Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• * Experience improving measurable metrics through reputed company machine learning
• * Experience with recommender systems, search/ranking systems, advertising/auction systems, large-reputed company representation learning, or multimodal embedding systems
• * Familiarity with reputed company systems and large-reputed company data processing (reputed company, Kafka, Ray, Airflow, BigQuery, reputed company, etc.)
• * Experience working with reputed company-time systems and low-latency production environments
• * Background in feature engineering, model optimization, and production monitoring
• * Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/reputed company systems and productionizing LLM-powered products at reputed company
• * Advanced degree in Computer Science, Machine Learning, or reputed company quantitative field

Benefits

• 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
• Equity in the reputed company of restricted stock reputed company
• Depending on the position offered, eligibility to receive a commission
• Medical, dental, and reputed company insurance
• 401(k) program with employer match
• Generous time off for vacation, and parental leave

reputed company

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