Abrar Admin

Onsera Health

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 The Challenge
 
 
 Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value.
 
 
 The Opportunity
 
 
 This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)&mdash;the proven venture platform behind Metsera and Corsera Health&mdash;we're building the future of population health management.
 
 
 
 As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.
 
 Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.
 
 
 Responsibilities
 
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 Design and implement Onsera's agentic AI platform
 
 &ndash; architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability
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 Define MLOps protocols for agentic systems
 
 &ndash; environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms
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 Bridge data science and platform engineering
 
 &ndash; translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments
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 Productionize data science code
 
 &ndash; convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows
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 Build production-grade data pipelines
 
 &ndash; develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run
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 Implement CI/CD for ML workloads
 
 &ndash; automated validation, monitoring, rollback strategies, and model lifecycle management
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 Establish reliability and governance
 
 &ndash; logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions
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 What We Offer
 
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 Mission-driven work addressing critical public health and healthcare economics challenges
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 Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform
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 Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond
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 A fast-paced, dynamic, and highly collaborative work environment
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 Competitive salary and benefits package, including participation in our equity program
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 Minimum Qualifications
 
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 5+ years of experience in machine learning engineering, data engineering, or a related field
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 Strong Python engineering skills with production-quality, typed, and tested code
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 Track record productionizing ML models in batch and/or real-time environments
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 Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar)
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 Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM
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 Infrastructure-as-Code experience (Terraform or equivalent)
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 Experience with feature engineering, model lifecycle management, and ML evaluation
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 Demonstrated ability to collaborate across Data Science, Product, and Platform teams
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 Preferred Qualifications
 
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 Experience with LLMs, agent frameworks, or AI orchestration systems in production
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 Familiarity with prompt management, tool calling, evaluation, and AI safety patterns
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 Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance
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 Experience with claims data, EHR-derived datasets, or real-world evidence
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 Strong written and verbal communication skills with technical and non-technical stakeholders
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 About Onsera Health
 
 
 We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides:
 
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 Venture track record:
 
 A proven track record of success in building biotech and healthcare companies
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 Deep capital:
 
 Funding and resourcing to support deep tech and scientific R&amp;D&mdash;and to drive growth
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 Strategic guidance:
 
 Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent
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 Expert network:
 
 Established connections across pharma, payers, and providers
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 Startup agility:
 
 Ownership in the venture, founder mentality, and ground-floor impact
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 About PHP
 
 
 Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health.
 
 
 
 Leadership:
 
 Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.
 
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Senior Machine Learning Engineer

Join Onsera Health and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Onsera Health

About Company

Senior Machine Learning Engineer