Red Cell Partners

👥 11-50 Financial Services Venture Capital Finance💼 Private Company

Red Cell Partners is a company that operates at the creative intersection of investing and national security, utilizing cutting-edge technologies to accomplish its goals.

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Jobs at this company:

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🔥 Staff Applied Machine Learning Engineer

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 170000.0 - 225000.0 USD per year

🔍 Healthcare Technology

🔧 Requirements

10+ years of experience in computer science or an equivalent field
Proven experience in a leadership role driving ML system development and optimization, preferably in healthcare or related fields.
Demonstrated expertise in training ML models and building robust training pipelines for real-world applications.
Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar.
Proficient in programming languages like Python or Go, with the ability to write efficient, clean, and maintainable code.
Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
A track record of delivering impactful machine learning solutions that have been successfully deployed in production environments.

💡 Responsibilities

Lead the team in architecting, building, and optimizing ML systems to deliver high-quality, real-world results in healthcare settings.
Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability for healthcare data.
Fine-tune ML models to meet specific healthcare needs and optimize their performance for various medical applications.
Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of ML in healthcare contexts.
Collaborate with cross-functional teams to understand healthcare business requirements and translate them into actionable ML solutions.
Stay up-to-date with the latest advancements in machine learning and healthcare technology, implementing best practices to enhance our ML infrastructure.
Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the Lightbox Health team.
Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner, particularly in healthcare contexts.

LeadershipPythonSQLMachine LearningMLFlowPyTorchAlgorithmsData engineeringTensorflowCommunication SkillsCI/CDProblem SolvingRESTful APIsMentoringData modelingData analytics

Posted 8 days ago

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🔥 Senior DevSecOps Engineer

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 155000.0 - 185000.0 USD per year

🔍 Technology/Defense

🔧 Requirements

Bachelor’s degree in Computer Science or related field
5 years of experience with AWS services
Strong proficiency with Kubernetes
Hands-on experience with Terraform
Understanding of networking, security, and system administration
Experience with CI/CD tools like Jenkins or GitLab
Problem-solving skills under pressure
Experience with scripting languages like Bash or Python

💡 Responsibilities

Provide technical support for AWS applications and infrastructure
Manage and optimize Kubernetes clusters
Develop and maintain infrastructure as code with Terraform
Troubleshoot cloud infrastructure and containerized applications
Collaborate on best practices for deployment and operations
Monitor system performance and implement enhancements
Ensure compliance with security policies
Provide on-call support as needed

AWSPythonBashKubernetesCI/CDTerraform

Posted 9 days ago

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🔥 Field Sales Engineer

Posted about 1 month ago

📍 Atlanta, GA, New York, NY, D.C. Metro, Chicago, IL, Dallas, TX, L.A. CA, S.F., CA, Seattle, WA

🧭 Full-Time

💸 150000.0 - 210000.0 USD per year

🔍 Cybersecurity

🔧 Requirements

Bachelor’s degree in Computer Science or related field
5+ years of presales engineering experience in cybersecurity
Strong understanding of cybersecurity technologies
Proficiency in Python for API integration
Hands-on experience with Salesforce CRM

💡 Responsibilities

Collaborate with Sales Teams to demonstrate solutions
Analyze customer requirements and tailor solutions
Design, build, and troubleshoot integrations
Leverage CRM for managing leads and customer interactions
Partner with product management for customer feedback

AWSPythonCloud ComputingCybersecuritySalesforceAzureREST API

Posted about 1 month ago

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🔥 Senior ML Researcher, Applied Machine Learning

Posted 4 months ago

📍 USA

💸 175000 - 225000 USD per year

🔍 Technology-led companies in healthcare, cyber, and national security

🔧 Requirements

Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies.
Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models like GPT, BERT.
Proficiency in ML Frameworks: Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable code.
Research Communication Skills: Ability to present complex technical concepts to various stakeholders.
Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field.
Impactful ML Solution Delivery: Proven track record of delivering impactful ML solutions.

💡 Responsibilities

Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models.
Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance.
Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP.
Mentor and Guide Team Members: Provide technical guidance to junior researchers.

PythonMachine LearningPyTorchTensorflowCommunication SkillsCollaboration

Posted 4 months ago

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🔥 Senior ML Engineer, Applied Machine Learning

Posted 4 months ago

📍 USA

💸 175000 - 225000 USD per year

🔍 Technology, Machine Learning

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines for ML models.
Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
Skilled in ML frameworks such as TensorFlow and PyTorch.
Proficient in Python with a focus on writing efficient, clean code for ML applications.
Clear ability to communicate complex ML concepts to both technical and non-technical audiences.
Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
A track record of delivering impactful machine learning solutions.

💡 Responsibilities

Develop and deploy robust ML models for real-world applications.
Design and implement scalable pipelines for model training and retraining.
Continuously fine-tune large language models to improve performance.
Implement feedback loops for iterative model improvement.
Collaborate with product and business teams to align ML solutions with requirements.
Stay current with ML research and apply insights to the infrastructure.
Mentor junior team members to foster technical growth.
Communicate ML methodologies and results to non-technical stakeholders.

PythonMachine LearningPyTorchData engineeringTensorflowCollaboration

Posted 4 months ago

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