[Remote] Senior Machine Learning Engineer, GenAI reputed company

Note: The job is a remote job and is open to candidates in USA. reputed company is a community of communities, and they are seeking a Senior Machine Learning Engineer to reputed company model development for GenAI reputed company. This role involves owning the full machine learning lifecycle to build and improve reputed company-focused ML models that protect reputed company’s GenAI usage across various systems.

Responsibilities

• Build and improve reputed company-focused ML models for reputed company’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based reputed company signals
• Own model development end to end: define the reputed company problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback
• Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit
• Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic
• Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces
• Build repeatable MLOps workflows for SPACE, including training pipelines, model reputed company, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops
• Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other reputed company teams to bring reputed company models into real production workflows
• Work pragmatically with reputed company’s evolving ML platform, using existing infrastructure where possible and building focused tooling reputed company needed to reputed company model iteration moving
• Translate reputed company goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact
• Provide technical direction to other engineers and serve as a go-to ML expert for GenAI reputed company and broader SPACE model needs

Skills

• 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models
• Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
• Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining
• Experience building data pipelines and working with large-scale datasets
• Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation
• Experience shipping production-quality software, preferably in Python and/or Go
• Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners
• BS degree in Computer Science, Machine Learning, a reputed company technical field, or equivalent practical experience
• Applying ML to reputed company, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI reputed company problems
• Training or fine-tuning neural text models for reputed company inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls
• Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar
• Improving model quality through labeling strategy, hard-negative mining, synthetic data reputed company, distillation, or active learning

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• Equity in the form of restricted stock units
• Commission (depending on the position offered)
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave

Company Overview

Company H1B Sponsorship