[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-driven platform that fosters open conversations and is home to over 100,000 active communities. They are seeking a Senior Machine Learning Engineer to reputed company the development of machine learning models focused on GenAI reputed company, ensuring the safety and reputed company of AI traffic and usage reputed company the organization.

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
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave

Company Overview

Company H1B Sponsorship