Machine Learning Engineering Manager
Company: Capital Rx
Location: New York
Posted on: March 17, 2025
Job Description:
Current job opportunities are posted here as they become
available.Subscribe to our RSS feeds to receive instant updates as
new positions become available.Location: Remote (For Non-Local) or
Hybrid (Local to NYC area)Position Summary:Join our mission to
infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine
Learning Engineering Manager. We are looking for an experienced
software engineer with machine learning expertise to join us in
expanding our AI capabilities, enabling increased productivity and
magical experiences in our products and services.In this role you
will be expected to lead the design and implementation of complex
AI systems that leverage ML models for NLP, NLG, multimodal data
analysis, chatbots, and RAG-based QnA. We want people who like
leading and working in a collaborative team environment and enjoy
creating practical, efficient, and high-performance software that
leverages Large Language Models (LLM), Multimodal Language
Models(MLM), and other ML models and techniques to build amazing
capabilities for our customers, partners, and employees. Most
importantly, we are a mission-oriented, high-growth startup and we
are looking for folks that are excited to be part of our journey to
make lasting impact towards transforming
healthcare.Responsibilities:
- Lead and oversee ML projects from planning to delivery,
ensuring timely and budget-friendly completion. Conduct performance
reviews, provide feedback, and support professional growth of your
team members.
- Manage a team and also contribute towards operationalizing
machine learning (ML) solutions in the fields of Document
understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Oversee the design and implementation of APIs for seamless
integration with AI models and services.
- Work across the complete lifecycle of ML model development,
including problem definition, data exploration, feature
engineering, model training, validation, and deployment.
- Participate in code reviews, testing, and quality assurance
processes.
- Troubleshoot and resolve technical issues related to AI model,
integration, deployment and backend services.
- Document and communicate development processes, system designs,
and architectural decisions.
- Ensure the security and compliance of healthcare data, adhering
to HIPAA regulations.
- All employees are responsible for adherence to the Capital Rx
Code of Conduct including reporting of noncompliance.Required
Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine
Learning, or a related quantitative field.
- Minimum 6 years (4 years with Masters degree) of experience in
industry with a strong focus on ML solutions development and
production deployment.
- At least 2 years of experience in Engineering Management with
teams of 4 or more engineers.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and
quality software development.
- Strong proficiency in Python and familiarity with ML libraries
such as PyTorch.
- Familiarity with cloud platforms such as AWS or Azure.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic
Claude, Google Gemma etc. Experience developing and fine-tuning
prompts on any of the GenAI services.
- Passion for customer, innovation, product quality, service
excellence, and test engineering.
- The ability to work collaboratively across multiple disciplines
in an extremely fast-paced, startup environment.
- Good written and communication skills that enable collaboration
in a remote environment.Base Salary: $200k - $240k per yearNothing
in this position description restricts management's right to assign
or reassign duties and responsibilities to this job at any
time.About Capital RxCapital Rx is a full-service pharmacy benefit
manager (PBM) and pharmacy benefit administrator (PBA), advancing
our nation's electronic healthcare infrastructure to improve drug
price visibility and patient outcomes. As a Certified B Corp,
Capital Rx is executing its mission through the deployment of JUDI,
the company's cloud-native enterprise health platform, and a
Single-Ledger Model, which increases visibility and reduces
variability in drug prices. JUDI connects every aspect of the
pharmacy ecosystem in one efficient, scalable platform, servicing
millions of members for Medicare, Medicaid, and commercial plans.
Together with its clients, Capital Rx is reimagining the
administration of pharmacy benefits and rebuilding trust in
healthcare.Capital Rx values a diverse workplace and celebrates the
diversity that each employee brings to the table. We are proud to
provide equal employment opportunities to all employees and
applicants for employment and prohibit discrimination and
harassment of any type without regard to race, color, religion,
age, sex, national origin, disability status, medical condition,
genetic information, protected veteran status, sexual orientation,
gender identity or expression, or any other characteristic
protected by federal, state or local laws.
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Keywords: Capital Rx, New York , Machine Learning Engineering Manager, Executive , New York, New York
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