Jobs in the United States

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Added 1 min ago
Senior Software Engineer, AI Storage Infrastructure
Google
Mountain View, CA
Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training.
Added 9 mins ago
Lead AI Developer
Fairfax, VA
Significant experience in systems engineering, software development, and explicitly deploying machine learning or generative AI solutions into a live enterprise production environment;
Added 9 mins ago
Sr Staff Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW)
Qualcomm Canada ULC
ON, CA
Engineering Group, Engineering Group > Machine Learning Engineering
Added 11 mins ago
Senior Machine Learning Engineer
TheIncLab
Remote, United States
We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing,…
Added 11 mins ago
Senior Machine Learning Engineer
TheIncLab
Remote, United States
We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing,…
Added 26 mins ago
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Senior Software Engineer, Backend (ML Feature Platform)
Affirm
Remote, United States
- $195,000 to $225,000 USD / year
ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.
Added 41 mins ago
Senior Pipeline Engineer
DNV
Houston, TX
DNV – Digital & Data Solutions Pipeline Hydraulics Delivery team is seeking a Senior Liquids/Gas Pipeline Engineer. The role will focus on the implementation and support of the DNV Synergi…
Added 1 hour ago
Technical Lead, Engineering
Huntington Ingalls Industries
Pocasset, MA
…individual to support the production of our autonomous systems. As a senior manufacturing engineer, you will be responsible for supporting production operations, resolving manufacturing…
Added 2 hours ago
Senior Principal AI Engineer
J&J Family of Companies
Titusville, NJ
We are searching for the best talent for Senior Principal AI Engineer
Added 2 hours ago
Forward Deployed Engineering & Applied AI Professionals
TDS Global Solutions
Remote, United States
AI & Machine Learning: Generative AI, Large Language Models (LLMs), AI Agents, Agentic AI, RAG, Conversational AI, Voice AI, NLP, Machine Learning
Added 3 hours ago
Senior AI Systems Engineer
NVIDIA Corporation
North District, IL
B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field
Added 3 hours ago
S
Senior Software Engineer, Machine Learning (Audio)
Syntiant
Redwood City, CA
- $160,000 to $190,000 USD / year
As a Senior Software Engineer, you will own and train audio models to run on edge devices. You will be responsible for ensuring the models run to spec and meet the customer needs.…
Added 4 hours ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Jefferson City, MO
- $146,400 to $263,600 USD / year
In this role, you will apply statistical data analysis, machine learning, and network protocol knowledge to diagnose and solve complex content delivery challenges, partnering with…
Added 4 hours ago
Machine Learning Engineer
Sweep360
NY · New York, NY
TL;DR – We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into…
Added 4 hours ago
Applied AI Health System Engineer [Health Services-Provider] - Senior Manager
PwC
Kansas City, MO
What You Must Have
Added 4 hours ago
Applied AI Health System Engineer [Health Services-Provider] - Senior Manager
PwC
Saint Louis, MO
What You Must Have
Added 4 hours ago
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Senior Machine Learning Engineer - Applied Scientist
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are looking for a Senior Machine Learning Engineer - Applied Scientist to help define, evaluate, and build the next generation of AI-powered product experiences. This role requires a…
Added 7 hours ago
Senior Software Engineer, Developer AI Research
Google
New York, NY · Kirkland, WA · San Jose, CA
Bachelor's degree in Computer Science, Machine Learning, or equivalent practical research experience.
Added 7 hours ago
LEAD AI ENGINEER CONSULTANT-INDIA
Lumen Technologies
HOME, IN
Relevant senior‑level certifications in Cloud, AI, or Machine Learning (AWS, Azure, or equivalent)
Added 8 hours ago
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AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
…Slalom's Data & AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work…
Added 8 hours ago
Senior Data Engineer, WW Ops Finance - S&A
Amazon.com Services LLC
Bellevue, WA · Irving, TX
As a Senior Data Engineer in WW S&A, you will be working in one of the world's largest and most complex data ecosystems. You will design, build, and own scalable data domains that serve as…
Added 8 hours ago
Data Solutions Engineer
Hays
FL
Experience in leveraging automation and AI-related technologies, such as Machine Learning and LLMs, to drive innovation in legal services
Added 10 hours ago
Senior Machine Learning Engineer, Search & Personalization
Bask Health
Remote, United States
We're looking for a Senior Machine Learning Engineer, Search & Personalization to design, build, and improve intelligent search, discovery, and personalization capabilities across Bask…
Added 10 hours ago
Senior Machine Learning Engineer, Evaluation & Reliability
Bask Health
Remote, United States
We're looking for a Senior Machine Learning Engineer, Evaluation & Reliability to design, build, and maintain the systems that measure and improve the quality of Bask Health's AI-powered…
Added 10 hours ago
Senior Site Reliaiblity Engineer
Mirantis
Remote, United States
We are looking for a senior SRE who thinks past dashboards to the contract between a platform and its operators. The right candidate can look at raw telemetry from Kubernetes, bare metal,…

Bask Health

Senior Machine Learning Engineer, Evaluation & Reliability

Remote, United States

Apply on apply.workable.com About employer

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Job details

Experience: 5+ years of professional experience in machine learning engineering, software engineering, or a closely related technical discipline.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Bask Health Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses. Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place. We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform. Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality. About the Role We're looking for a Senior Machine Learning Engineer, Evaluation & Reliability to design, build, and maintain the systems that measure and improve the quality of Bask Health's AI-powered applications. As Bask introduces more AI capabilities across patient experiences, merchant tools, clinical workflows, and internal operations, we need reliable ways to understand how these systems perform. You'll help establish the engineering infrastructure, evaluation methods, and monitoring practices that allow teams to ship AI features with confidence. This role sits at the intersection of machine learning engineering, software infrastructure, automated testing, and production reliability. You'll work on evaluation pipelines, benchmark datasets, regression testing, model monitoring, and tools that help engineers identify failures before they affect users. You'll develop systems that measure more than whether an AI model produces a response. You'll help determine whether that response is accurate, relevant, grounded in appropriate information, consistent with application requirements, and safe for its intended use. You'll also investigate production issues, identify patterns in model failures, and collaborate with applied AI engineers to improve prompts, retrieval systems, model configurations, and application behavior. Because Bask operates in healthcare-related workflows, reliability is especially important. You'll help establish safeguards for sensitive use cases, support human review where appropriate, and make sure AI systems are evaluated against clear quality expectations before deployment. This is a hands-on senior engineering position with ownership over evaluation infrastructure and reliability practices. You'll contribute production code, design scalable testing systems, and help establish standards that other engineers can use across multiple AI applications. We're looking for someone who enjoys turning complex machine learning behavior into measurable engineering systems and who understands that successful AI products depend on consistent performance, not just impressive demonstrations. What You'll Do

Design and build evaluation infrastructure for AI and machine learning applications across Bask Health.
Develop automated testing systems for large language model applications and intelligent workflows.
Establish measurable quality standards for production AI features.
Create evaluation pipelines that assess accuracy, relevance, completeness, consistency, and reliability.
Build and maintain representative datasets for testing AI application behavior.
Develop regression testing systems to detect quality changes when models, prompts, or application logic are updated.
Design evaluation methods for retrieval-augmented generation and knowledge-grounded AI systems.
Measure retrieval quality, grounding accuracy, and unsupported model outputs.
Build tools for identifying hallucinations, incorrect reasoning, and unreliable responses.
Develop testing approaches for AI agents, tool calling, and multi-step workflows.
Evaluate whether AI systems follow application instructions and respect workflow boundaries.
Implement automated checks for structured outputs, API interactions, and tool execution.
Build monitoring systems that track AI performance in production.
Develop dashboards and reporting tools for model quality, latency, errors, and operational reliability.
Investigate production AI failures and identify their underlying technical causes.
Collaborate with applied AI engineers to improve prompts, retrieval pipelines, and model configurations.
Establish testing procedures for model upgrades and provider changes.
Develop benchmarking tools to compare models based on quality, performance, and cost.
Implement evaluation processes for sensitive healthcare-related AI workflows.
Work with product and clinical stakeholders to define appropriate acceptance criteria and escalation requirements.
Support human review and feedback collection for AI outputs that require additional validation.
Design reproducible experiments for evaluating AI system improvements.
Build reusable evaluation libraries, services, and internal engineering tools.
Integrate AI evaluation checks into development and deployment workflows.
Improve observability through structured logging, tracing, and production diagnostics.
Mentor engineers on AI testing methodologies and reliability practices.
Contribute to architecture discussions involving AI infrastructure, testing, and monitoring.
Own evaluation and reliability improvements from technical design through deployment and ongoing maintenance.

Requirements

5+ years of professional experience in machine learning engineering, software engineering, or a closely related technical discipline.
Demonstrated experience developing and operating machine learning or AI systems in production.
Strong programming skills in Python and experience building production software services.
Experience designing automated testing frameworks or evaluation pipelines for AI or machine learning applications.
Strong understanding of machine learning evaluation methodologies and performance measurement.
Experience developing reproducible experiments and benchmark datasets.
Familiarity with large language models and modern LLM application architectures.
Understanding of prompt engineering, model inference, and AI application integration patterns.
Experience evaluating model outputs for quality, accuracy, and reliability.
Familiarity with retrieval-augmented generation and retrieval evaluation methods.
Experience working with structured datasets, data pipelines, and analytical workflows.
Strong understanding of software testing, regression testing, and continuous integration.
Experience building or maintaining backend services and APIs.
Familiarity with cloud infrastructure and production deployment environments.
Experience with monitoring, logging, tracing, and production troubleshooting.
Understanding of model latency, throughput, and operational performance metrics.
Ability to investigate complex system failures and identify root causes.
Experience designing metrics and reporting systems for technical performance.
Familiarity with version control, code review, and collaborative software development.
Understanding of data quality and its impact on model evaluation.
Ability to evaluate technical tradeoffs between quality, performance, reliability, and cost.
Strong analytical skills and attention to detail.
Experience collaborating with engineers, product managers, and technical stakeholders.
Ability to independently own complex engineering initiatives.
Strong communication skills and the ability to explain evaluation results clearly.

Nice to Have

Experience building evaluation frameworks specifically for LLM-powered applications.
Familiarity with tools such as LangSmith, DeepEval, Ragas, or comparable evaluation platforms.
Experience implementing LLM-as-a-judge evaluation methods and validating their limitations.
Experience building automated hallucination detection or groundedness evaluation systems.
Familiarity with agent evaluation and multi-step workflow testing.
Experience evaluating tool-calling accuracy and structured model outputs.
Experience with retrieval metrics such as precision, recall, and ranking quality.
Familiarity with vector databases, embeddings, and semantic search.
Experience with MLflow, Weights & Biases, or similar experiment tracking tools.
Experience developing machine learning observability infrastructure.
Familiarity with model drift detection and data quality monitoring.
Experience integrating evaluation checks into CI/CD pipelines.
Experience with distributed processing or large-scale evaluation workloads.
Familiarity with AWS and cloud-based machine learning infrastructure.
Experience building internal developer tools for AI engineering teams.
Experience evaluating systems built with OpenAI, Anthropic, or comparable model providers.
Familiarity with healthcare, telehealth, or other sensitive-data applications.
Understanding of HIPAA and healthcare data privacy considerations.
Experience designing human-in-the-loop evaluation or review systems.
Experience using AI-assisted development tools such as Cursor or Claude Code.

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More about this job

Skills

Machine learning
Test automation
Python
Industrial software
CI/CD
Troubleshooting
Reporting
Software development
Analytical skills
Attention to detail
Communication skills
Grading systems
Workflow
Mlflow
AWS

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Jobs in the United States