Senior Machine Learning Engineer
Build and operate production machine learning systems for recommendations, search, advertising, content understanding, and LLM-powered experiences at internet scale. The role requires 3–5+ years of production ML experience, strong programming and software engineering fundamentals, and expertise with modern ML frameworks and scalable pipelines.
About the job
Responsibilities
- Design, build, and deploy production-grade machine learning models and systems at scale.
- Own the full ML lifecycle, from problem definition and feature engineering through training, evaluation, deployment, and monitoring.
- Build scalable data and model pipelines with strong reliability, observability, and automated retraining.
- Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content and user understanding, and optimization systems.
- Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions.
- Improve system performance across latency, throughput, and model-quality metrics.
- Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph-based models, transformers, and LLM evaluation and alignment.
- Contribute to technical strategy, architecture, and the long-term ML roadmap.
Requirements
- 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.
- Strong grasp of machine learning algorithms, including XGBoost, random forests, regressions, transformers, CNNs, and GNNs.
- Hands-on experience with modern ML frameworks such as PyTorch and TensorFlow.
- Experience designing scalable 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 applied machine learning.
Nice-to-haves
- Experience with recommender systems, search and ranking systems, advertising or auction systems, large-scale representation learning, or multimodal embedding systems.
- Familiarity with distributed systems and large-scale data processing, including Spark, Kafka, Ray, Airflow, BigQuery, and Redis.
- Experience working with real-time systems and low-latency production environments.
- Background in feature engineering, model optimization, and production monitoring.
- Experience with LLM and generative AI techniques, including LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG, agentic systems, and productionizing LLM-powered products at scale.
- Advanced degree in Computer Science, Machine Learning, or a related quantitative field.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits programs supporting workspace, professional development, caregiving, and lifestyle needs.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
Skills
Python, Java, Go, Xgboost, Random Forests, Transformers, Cnns, Gnns, PyTorch, TensorFlow, Spark, Kafka, Ray, Airflow, BigQuery
Similar jobs
ML Engineering jobs
Dialpad
Vancouver, Canada
Senior AI engineer owning production systems for real-time speech models and AI voice agents. The role requires 5+ years of production software experience, Python, model serving and inference optimization, cloud and distributed systems expertise, and strong reliability and operations skills.
Instacart
United StatesBuild and deploy machine learning systems that apply economic theory, econometrics, and causal inference to marketplace problems. The role requires advanced training in economics, strong Python and data skills, and production ML experience for senior-level hires.
Censys
United StatesBuild and deploy production machine-learning models and data systems that classify and enrich Internet telemetry for internal platforms and customer-facing products. The role requires 5+ years of applied ML, data science, or software engineering experience, plus strong Python or Go skills.
Apartment List
United StatesBuild marketplace search and ranking features while supporting MLOps infrastructure, model deployment, feature stores, and real-time data pipelines. The role requires 5+ years of software engineering or MLOps experience, backend or full-stack expertise, and familiarity with cloud and machine learning tooling.
Instacart
United StatesDevelop and deploy production machine learning models for real-time inventory and shelf-stocking intelligence at scale. The role requires 5+ years of production ML experience, strong Python and ML framework skills, cloud and data pipeline expertise, and a bachelor's degree or equivalent experience.