Jobs in the United States

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Added 4 mins ago
ML Data Operations Engineer, AI-Assisted Annotation
Apple
San Diego, CA
Experience delivering data for machine learning, such as data annotation, data operations, or technical program management.
Added 4 mins ago
Senior CV/ML Generalist Engineer
Apple
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Apple is looking for a creative, versatile Senior Computer Vision and Machine Learning (CVML) Generalist Engineer to join a team of leading researchers and engineers. The team builds…
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Added 17 mins ago
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United States
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Added 27 mins ago
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Remote, United States
- $170,000 to $190,000 USD / year
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Added 27 mins ago
National Manager, Software Engineer
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NCUVO Senior Scientific Software Engineer
University of Vermont
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…deliver unique and unprecedented products across industries. As a Senior Lead AI Engineer, you are primarily responsible for managing technical projects and helping teams design and build…
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Minimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff
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Added 1 hour ago
AI Engineer 4 (AI Foundations)
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NY · McLean, VA · San Jose, CA
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 2 hours ago
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Senior Staff Software Engineer
SewerAI Corporation
Remote, United States
- $160,000 to $180,000 USD / year
We're seeking an experienced Senior Full-Stack Software Engineer to join our SewerAI team working on an innovative automated sewer inspection analysis and management platform. You'll work…
Added 2 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.
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Senior Engineer II, Systems Engineering
ASM
United States
The Senior Engineer (II), Systems Engineering is a technical leader responsible for the development, integration, qualification, and deployment of advanced sensor technologies across ASM…
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As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox’s Content Understanding Platform. This…
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Senior Forward Deployed Engineer, Operate
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New York, NY
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As a Senior Forward Deployed Engineer, you will lead technical delivery of AI agent deployments for healthcare and life sciences organizations. You will work directly with clients to build…
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Senior Software Development Engineer
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Remote, United States
- $156,200 to $262,600 USD / year
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Added 2 hours ago
Senior Machine Learning Infrastructure Engineer, Matchmaking
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DevOps Cloud Engineer - EviCore - Remote
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Remote, United States
As a Senior DevOps Engineer, you will interact with various functional groups such as Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations to ensure our…
Added 2 hours ago
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Senior Engineer, Machine Learning
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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…
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Senior Electrical Engineer, Installation
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Remote, United States
Symbotic is seeking a Senior Electrical Engineer to join our Continuous Improvement team within our Layout Engineering organization. Your job will be to provide field-focused electrical…

Cryoport Systems, LLC

Senior Software Engineer (Contingent)

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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