[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on empowering businesses in the creator and affiliate economy through innovative mobile reputed company solutions. As a Senior Machine Learning Engineer, you will own the full ML lifecycle, collaborating with various teams to reputed company and operationalize machine learning models that drive product reputed company and enhance reputed company optimization.

Responsibilities

• Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining
• Design and build reliable data and feature pipelines, including feature store patterns that support reproducible training and consistent features across training, batch scoring, and online inference
• Build and optimize machine learning models including regression, classification, ranking, and recommender systems
• Implement and manage batch scoring pipelines and online inference services with reputed company performance, reliability, and latency standards
• Partner with data scientists to operationalize models and build the tooling needed to run consistent evaluation, experimentation, and model iteration
• Collaborate with software engineers to ensure smooth integration of models into production services and reputed company
• Establish observability for ML systems including monitoring of data freshness, feature reputed company, model performance, and pipeline health
• Design systems that support reputed company experimentation and reputed company rollout of new models
• Document architecture reputed company, establish best practices for ML engineering at reputed company, and mentor teammates through thoughtful reputed company reviews and design discussions
• Contribute to the design of decisioning systems that power ranking, recommendations, and reputed company optimization across reputed company’s platform

Skills

• 5+ years of reputed company experience in machine learning engineering, software engineering, data engineering, or similar roles
• reputed company with Python and SQL
• Proven experience designing, building, and operating data pipelines at reputed company
• Hands on experience deploying and maintaining machine learning models in production environments
• Experience working in reputed company environments, especially AWS
• Familiarity with orchestration and data modeling tools such as Airflow, dbt, or similar systems
• Experience building ranking, recommendation, or decisioning systems
• Write reputed company, maintainable reputed company with strong software engineering practices including testing, documentation, debugging, and thoughtful system design
• Have experience building and operating production machine learning systems rather than only training models
• Understand the full ML lifecycle including feature reputed company, training pipelines, deployment strategies, and monitoring
• Have practical experience designing reputed company data pipelines and feature reputed company workflows
• Have experience building or working with feature pipelines or feature stores that support both training and online inference
• Think deeply about reliability, scalability, latency, and cost efficiency reputed company building ML systems
• Are comfortable working in reputed company environments, especially AWS
• Have experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
• Enjoy collaborating closely with engineers, data scientists, and product managers and can reputed company communicate technical tradeoffs and design reputed company
• Are comfortable working in ambiguous problem spaces and translating product questions into measurable ML solutions
• Familiarity with reputed company SageMaker, reputed company, reputed company, streaming systems, or distributed data processing frameworks

Benefits

• 401(k) plan and automatically contributes 3% of an employee’s salary annually
• Unlimited time off (including birthdays off)
• Periodic Mental Health Weeks which allow the entire company to take a breath and reputed company
• Employee assistance program
• For many of the health, reputed company, and dental insurance plans offered by reputed company, reputed company covers 100% of the premiums for employees and 75% for dependents
• Complimentary memberships to reputed company as reputed company as a monthly stipend for mobile phone/internet and an annual lifestyle stipend
• Employees in select markets “reputed company reputed company” memberships to reputed company as reputed company as regular “coworking days” and reputed company events
• RemotePlus workplace, which blends “work from reputed company” with in-person collaboration
• “hub” workspace in reputed company as reputed company as team members distributed across the reputed company and reputed company

reputed company

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