Jobs in the United States

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Added 16 mins ago
Senior MLOps Engineer
C the Signs
Remote, United States
…experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll design reliable, secure, and compliant systems for model development, evaluation,…
Added 16 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
…model retraining. Format data appropriately for the chosen LLM and training…
Added 16 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
…model retraining. Format data appropriately for the chosen LLM and training…
Added 16 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
…model retraining. Format data appropriately for the chosen LLM and training…
Added 16 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
…model retraining. Format data appropriately for the chosen LLM and training…
Added 16 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
…model retraining. Format data appropriately for the chosen LLM and training…
Added 55 mins ago
Software Engineer 3
Kiewit
Lenexa, KS
…across Kiewit’s district portfolio. This role is ideal for a developer who has outgrown pure implementation and is ready to think at the systems level - shaping how applications are…
Added 59 mins ago
Applied AI Engineer (Python/AI)
Brightplan
Remote, United States
Experience working with LLM APIs, generative AI services, or AI-enabled capabilities in applications
Added 59 mins ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
This role focuses on developing reliable, scalable infrastructure and frameworks for LLM-powered applications, enabling the broader engineering team to deliver reliable, high-quality AI…
Added 1 hour ago
Senior Software Engineer
Braven
Remote, United States
Experience applying AI and automation to ship faster or scale operations, such as LLM-assisted development or workflow automation.
Added 1 hour ago
Senior Software Engineer
Braven
Remote, United States
Experience applying AI and automation to ship faster or scale operations, such as LLM-assisted development or workflow automation.
Added 1 hour ago
BN
Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Inference Serving: Deploy and optimize LLM inference across the fleet using vLLM and SGLang. Tune continuous batching, KV-cache management, quantization, speculative decoding, and…
Added 1 hour ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
Design AI and LLM features for client products, including model choice, retrieval (RAG), guardrails and the evaluations that prove quality in production
Added 1 hour ago
Technical Support Manager (Hybrid)
Cisco Systems, Inc.
RTP, NC
1+ years dedicated to supporting AI/ML or LLM-driven applications.
Added 2 hours ago
Forward Deployed Engineer (AI Integration + Design) - Gen AI & Voice AI - US
Blue Machines AI
NY · New York, NY
…APIs, cloud services, and AI frameworks (like LangChain and LLM APIs) to deliver intelligent, reliable, and production-grade…
Added 2 hours ago
Lead Software Engineer - AI
Humana
Atlanta, GA
…end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation. Make and communicate…
Added 3 hours ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 3 hours ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 6 hours ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Jefferson City, MO
…environments, organizations, gateways, management console, developer portal, users, groups, and role-based…
Added 6 hours ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.
Added 6 hours ago
M
Senior Software Engineering
Microsoft
United States
- $119,800 to $261,000 USD / year
Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance…
Added 6 hours ago
M
Senior AI Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
2+ years of experience training, fine-tuning, and evaluating ML/LLM models, including data preparation, experiment design, offline/online validation, and performance optimization.
Added 7 hours ago
Senior AI Engineer
Atria Health and Research Institute
Remote, United States
As a Senior AI Engineer at Atria, you will own the design, development, and production deployment of the LLM-powered systems that put AI directly in front of clinicians and members: agentic…
Added 8 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
Familiarity with AI agents and LLM-based workflows
Added 8 hours ago
Senior Python Developer
Charles Schwab
Austin, TX
…support investing and financial planning. As GenAI OS Application Developer, you will play a pivotal role in building and advancing Schwab’s Generative AI Operating System (GenAI OS), a…

C the Signs

Senior Machine Learning Engineer

Remote, United States

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Job details

Experience: 5+ years of experience in Machine Learning Engineering or a similar role.
Posting language: English
Posted: Apr 28, 2026

Original job description

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.

Key Responsibilities

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline
Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models)
Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.
Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance.
Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions.
Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.
Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
Experience:
5+ years of experience in Machine Learning Engineering or a similar role.
Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
Experience with GPU/TPU optimization, memory management for large language models.
Experience working with healthcare data is highly desirable.
Technical Skills:
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.
Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.
Familiarity with MLOps practices and tools.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work independently and as part of a team in a fast-paced environment.
Work Authorization:
Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

Competitive salary and benefits package.
Flexible working arrangements (remote or hybrid options available).
The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

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