Senior Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Candid

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

🤝 Non-profit

🔌 API

☁️ SaaS

Non-profit • API • SaaS

Candid is a nonprofit organization that collects, curates, and distributes comprehensive data and insights about nonprofits and foundations. It provides searchable organization profiles, grant and funding data, research and analysis, and developer APIs and data services to help funders, nonprofits, researchers, and technical partners find funding, verify organizations, and integrate nonprofit data into workflows.

📋 Description

• Take operational ownership of Candid’s deployed machine learning and AI services • Monitor service degradation, manage retraining cadences, coordinate handoffs from data scientists, and serve as the accountable point of contact for production models • Improve inference performance for deployed models, including complex graph inference models, using quantization, artifact slimming, batching, and efficient serialization • Design and operate experiment tracking, model versioning, and artifact management • Build and maintain observability for ML and AI services through centralized logging, metrics, dashboards, and alerting • Establish and improve a repeatable AWS deployment path for new ML services, including CI/CD integration and infrastructure-as-code patterns • Monitor and manage AWS spend across ML workloads, including Bedrock token usage, compute sizing, and S3 lifecycle • Work with data scientists to understand model behavior, surface operational insights, and translate research code into production deployments • Serve as technical liaison between Data Science and product/software engineering teams for ML and AI integrations • Define integration contracts, APIs, latency and reliability expectations, and input/output schemas • Build and operate Amazon Bedrock-backed services and integrations • Contribute to secure-by-default ML services through IAM scoping, secrets handling, and compliance-aligned tagging • Participate in technical planning and roadmap discussions

🎯 Requirements

• 4+ years of professional software engineering experience • At least 2 years in MLOps, ML engineering, or production-ML-focused data science where production ML systems were a primary responsibility • Strong proficiency in Python, including production-quality service code • Hands-on production experience with experiment tracking and model lifecycle tooling such as MLflow or Weights & Biases • Hands-on experience deploying PyTorch models in production • Familiarity with quantization, batching, ONNX Runtime, model serialization, container/artifact slimming, or cold-start mitigation on Lambda/Fargate • Experience deploying and monitoring ML models in production, including model degradation, drift signals, retraining triggers, and artifact management • Working knowledge of AWS ML deployment services including Lambda, ECS/Fargate, S3, IAM, and CloudWatch • Experience building or operating CI/CD pipelines for ML services • Track record of improving production reliability through observability and disciplined deployment • Ability to work closely with data scientists and communicate operational decisions clearly • Ability to work cross-functionally with software or product engineering teams • Comfort owning work independently • Strong written and verbal communication • Willingness to perform other duties and special projects as needed/requested • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences • Commitment to Candid's values: driven, direct, accessible, curious, and inclusive

🏖️ Benefits

• Health insurance (medical, dental, vision) • Retirement contribution with additional option for a match • Paid life insurance and AD&D • Paid leave time (PTO, compassionate leave, volunteer, holiday, parental) • Short-term and long-term disability • Pre-tax transit • Flexible spending accounts • Supplemental insurance • Summer hours • Public Service Loan Forgiveness (PSLF) program eligible employer • Remote work • Annual, weeklong all-staff summits