Remote jobs in the United States

25+ jobs

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Added 16 mins ago
Integration Engineer
Clinisys
Remote, United States
Understanding of AI and machine learning technologies and their practical business applications.
Added 1 hour ago
AI Phone - Applied ML / Model Engineer
Bjak
Remote, United States
- Strong background in Machine Learning, Deep Learning, or NLP.
Added 1 hour ago
AI Phone - Applied ML / Model Engineer
Bjak
Remote, United States
- Strong background in Machine Learning, Deep Learning, or NLP.
Added 2 hours ago
AI Research Engineer (Agentic Reinforcement Learning)
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for an AI Research Engineer (Agentic Reinforcement Learning) based in United…
Added 2 hours ago
Forward Deployment (FD) Agentic Solutions Consultant - Sales
Jobgether
Remote, United States
At least 2 years of experience designing, building, or managing AI and automation solutions in roles such as Product Manager, Solutions Engineer, Sales Engineer, or Consultant.
Added 3 hours ago
J
Enterprise Solution Architect
Jobgether
Remote, United States
- $210,000 to $250,000 USD / year
Added 3 hours ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
We are seeking a Lead Specialist, Applied AI Systems Engineer, to design, build, and continuously improve the intelligent systems that support Pearson’s work developing the next generation…
Added 4 hours ago
Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)
EvolutionIQ
Remote, United States
As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at…
Added 8 hours ago
Senior Staff Algorithm Engineer - Emerging Sensing Technologies
Dexcom
Remote, United States
Develop first-principles, mechanistic, statistical, and machine-learning models to understand complex biological and sensing phenomena.
Added 8 hours ago
A
Senior AI Engineer
Arine
Remote, United States
- $170,000 to $190,000 USD / year
…software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop…
Added 8 hours ago
AI Lead Architect
Infinitive Inc
Remote, United States
Certification: Databricks Certified (Databricks Certified Data Engineer Professional, Solutions Architect, or Machine Learning Professional strongly preferred).
Added 9 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
…systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG…
Added 9 hours ago
SC
Senior Staff Software Engineer
SewerAI Corporation
Remote, United States
- $160,000 to $180,000 USD / year
- AI-Powered Sewer Inspection: Build systems that process video inspections using computer vision and machine learning to automatically identify defects and conditions
Added 9 hours ago
Senior Staff Algorithm Engineer - Emerging Sensing Technologies
DexCom Inc
Remote, United States
Develop first-principles, mechanistic, statistical, and machine-learning models to understand complex biological and sensing phenomena.
Added 10 hours ago
L
Forward Deployed Engineer, Enterprise Document AI (SF)
Lavendo
Remote, United States
- $220,000 to $320,000 USD / year
- Solid understanding of AI, LLMs, and machine learning concepts
Added 10 hours ago
DevOps Cloud Engineer - EviCore - Remote
eviCore healthcare MSI, LLC
Remote, United States
Exposure to Azure AI, Azure Machine Learning, MLOps, or AI-enabled platform operations.
Added 10 hours ago
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REMOTE Staff Software Engineer
Insight Global
Remote, United States
- $135,000 to $222,000 USD / year
Insight Global is seeking a Staff Software Engineer to join our actuarial consultant customer 100% remotely. This role offers a unique opportunity to be entrepreneurial and innovative…
Added 10 hours ago
VH
Senior Engineer, Machine Learning
Virta Health
Remote, United States
- $161,500 to $232,500 USD / year
As a Senior Engineer, Machine Learning on Virta's Applied AI team, you build the models that shape how Virta shows up for each member: who needs a coach's attention this week, which nudge…
Added 10 hours ago
Senior Electrical Engineer, Installation
Symbotic LLC
Remote, United States
…companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched…
Added 10 hours ago
MACHINE LEARNING ENGIENEER II (REMOTE)
The Home Depot
Remote, United States
Position Purpose:The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a…
Added 11 hours ago
Senior Software Engineer
Cryoport Systems, LLC
Remote, United States
Develop solutions that leverage modern AI technologies, machine learning services, retrieval systems, and foundation models where appropriate.
Added 11 hours ago
Senior Software Engineer (Contingent)
Cryoport Systems, LLC
Remote, United States
Develop solutions that leverage modern AI technologies, machine learning services, retrieval systems, and foundation models where appropriate.
Added 11 hours ago
AI Engineer
Coterie Applications Inc.
Remote, United States
The AI Engineer will work within the Research & Development (R&D) subdomain of Coterie’s broader Data and Analytics (DnA) department to build, test and deploy intelligent systems that…
Added 11 hours ago
Senior Staff Software Engineer - Monetization
Nextdoor
Remote, United States
This hands-on technical leader will partner with Product, Machine Learning, Data Science, and Engineering to align senior stakeholders and deliver complex initiatives with measurable…
Added 12 hours ago
Software Engineer II
Rocket Limited Partnership
Remote, United States
Experience building AI or machine learning-driven applications

Cryoport Systems, LLC

Senior Software Engineer

Remote, United States

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Job details

Experience: 2+ years of hands-on AI/ML engineering experience in production environments.
Posting language: English
Posted: Nov 3, 2026

Original job description

Cryoport Systems is a comprehensive supply chain partner for the life sciences industry, delivering specialized solutions to meet the challenges of the biopharmaceutical, cell and gene therapy, reproductive medicine, and animal health markets. Our offerings span logistics, BioServices and biostorage, cryopreservation, and consulting, ensuring the highest standards of quality and reliability for sensitive materials. With our expansive platform of management solutions and decades of temperature-controlled supply chain expertise, Cryoport Systems helps Enable the Outcome™ by supporting certainty and precision in the supply chain, whether advancing groundbreaking therapies, supporting families on their reproductive journeys, or enhancing animal health programs.

POSITION SUMMARY

As a Senior Software Engineer at Cryoport Systems, you will lead technical initiatives, optimize team delivery, and drive architectural decisions within one of our teams. You will collaborate closely with the technical leadership team to ensure deliverables align with the organization’s broader goals and support our clients’ needs, including the design and delivery of AI-powered capabilities. You will be responsible for building, evolving and supporting core value stream application components - including AI-powered features and intelligent systems - essential for our organization’s growth. Your leadership will ensure system success and foster technical excellence, allowing Cryoport Systems to deliver certainty and reliability across our business.

Key Responsibilities:

Technical Expertise

Design, develop, and maintain scalable, resilient, and maintainable software systems aligned with technical roadmaps, including AI-powered features such as LLM integrations, RAG pipelines, and agentic workflows.
Execute value stream initiatives in an agile environment, ensuring that features meet business and technical goals.
Apply engineering best practices in software architecture, code quality, testing, security, observability, and data management.
Establish engineering best practices around AI-driven development lifecycles, prompt management, AI evaluation frameworks, and observability for AI systems.

AI & Intelligent Systems Engineering

Design, build, and support production-grade AI-enabled applications and intelligent business capabilities.
Develop solutions that leverage modern AI technologies, machine learning services, retrieval systems, and foundation models where appropriate.
Evaluate emerging AI platforms, frameworks, and tools to determine their suitability, effectiveness, scalability, and business value.
Design and implement knowledge-driven and retrieval-based solutions that improve decision-making, automation, and user experiences.
Collaborate with data, product, and engineering teams to deliver AI-driven capabilities into production environments.
Contribute to enterprise-wide standardization of AI development practices, governance, observability, and operational excellence.
Ensure AI-enabled solutions align with organizational security, compliance, and responsible AI principles.

Systems Thinking and Innovation

Participate in technical discussions, architecture reviews, and roadmap planning.
Contributed to the technical vision and architecture for the stream.
Advocate for Domain-Driven Design (DDD) and loosely coupled architectures.
Review and assess new technologies, frameworks, and tools to enhance efficiency and scalability.

Stream Alignment

Collaborate with product managers and stakeholders to understand business goals and translate them into technical requirements, including AI-driven capabilities.
Contribute to technical documentation and knowledge sharing across teams.
Ensure the team’s work aligns with objectives laid out no technical roadmaps.

Team Leadership and Collaboration:

Mentor and support engineers across the organization, fostering a culture of learning, accountability, and technical excellence.
Encourage knowledge sharing and collaborative problem solving across teams.
Partner closely with product managers, designers, architects, data professionals, and engineering teams to align technical efforts with business objectives.
Provide technical guidance and leadership while empowering team members to grow their skills and capabilities.
Champion continuous learning and professional development within the engineering organization.

Tooling/Technologies:

Ruby, Python, JavaScript, TypeScript, Java, MySQL, Docker, Elasticsearch, GitHub, JIRA, AWS Ruby on Rails, Scala, Micronaut, React, Django, FastAPI LLM APIs (OpenAI, Anthropic), LangChain, LlamaIndex, vector databases, RAG pipelines

Required Qualifications:

B.S. in Computer Science or equivalent degree (required) / M.S. in Computer Science (preferred)
8+ years architecting, implementing, and maintaining 100,000+ lines of code multi-tier distributed web applications using Python, JavaScript (React, Node), Ruby (Ruby on Rails), J2EE, and other web technologies.
5+ years architecting, implementing, and maintaining JSON API’s.
2+ years of hands-on AI/ML engineering experience in production environments.
Extensive knowledge of microservices, APIs, event-driven architectures, containerization (Docker, Kubernetes), and data modeling.
Experience incorporating AI-enabled capabilities, intelligent automation, analytics, or machine learning solutions into business applications.
Experience with model evaluation, prompt engineering, and AI observability tooling.

Preferred Qualifications:

Advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Experience implementing AI-enabled applications in production environments.
Experience with cloud-native architectures, microservices, event-driven systems, and modern platform engineering practices.
Experience evaluating and adopting emerging technologies.
Experience supporting highly available, mission-critical business systems.
Knowledge of AI governance, observability, model evaluation, or responsible AI practices.
Experience leading technical initiatives, mentoring engineers, and influencing architectural direction.

Key Competencies:

Problem-Solving: Strong, detail-oriented analytical skills and a hands-on approach to troubleshooting and resolving technical challenges.
AI Fluency: Practical, hands-on judgment about where AI/LLM-based approaches add real value versus traditional engineering, with an eye toward reliability, cost, and responsible use.
Innovation: A forward-thinking mindset, constantly looking for ways to innovate and improve operations; passion for automating processes.
Strategic Vision: Ability to align stream initiatives with broader business objectives.
Collaboration: Excellent interpersonal skills and ability to collaborate across functional teams.

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More about this job

Skills

Supply chain management
Leadership
Data management
Machine learning
Decision making
Regulatory compliance
Systems thinking
Documentation
Team leadership
Problem solving
Ruby
Python
JavaScript
TypeScript
Oracle Java
MySQL
Docker
Elasticsearch
GitHub
Atlassian JIRA
AWS
Ruby on Rails
Scala
React
Django
LangChain
Computer science
ML
Microservices
Kubernetes
Data modelling
Artificial intelligence
Coaching
Analytical skills
Troubleshooting
Collaboration
Interpersonal skills

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