Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainXSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Digital Health, BiopharmaceuticalsIndustries
Requirements
- A BSc/MSc/PhD degree (or equivalent) in mathematics, data science, computer science, statistics, electrical engineering, bioinformatics, biomedical engineering or a related STEM field
- 6+ years of relevant work experience
- Expert in Python programming for full data science lifecycle (ETL, data exploration, cleaning/pre-processing, feature engineering, model training, evaluation, deployment, monitoring). Tech stack: SQL, Scikit-learn, Numpy, Pandas, Pytorch, Transformers
- Experience with LLMs: prompt engineering, RAG, fine-tuning
- Highly analytical, problem-solving mindset
Responsibilities
- Use a variety of machine learning methods to solve healthcare-related problems using cloud-based technologies
- Transform innovative AI prototypes into production-ready solutions through rigorous engineering practices
- Work cross functionally with engineers to integrate AI/ML features into our applications
- Work alongside science and product to identify and solve high-value machine learning use-cases
- Maintain and monitor existing AI/ML functionality
- Research topics in machine learning and AI to stay up-to-date on emerging trends in the field
- Lead and contribute to all parts of the software development lifecycle, including architecture, design, development, documentation, testing, and operations
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What perks and benefits does Aetion offer?
Aetion provides 25 vacation days, daily in-office lunch stipend, sabbatical after five years, professional development opportunities, comprehensive private health coverage with out-of-network reimbursements, and peer recognition programs.
Is this a remote position or does it require office work?
The role appears to involve in-office work, as indicated by the daily in-office lunch stipend and a Technology Hub in Barcelona.
What skills are required for the Senior Machine Learning Engineer role?
The position requires expertise in machine learning methods, cloud-based technologies, software development lifecycle including architecture, design, development, testing, and operations, as well as the ability to collaborate across functions.
What is the company culture like at Aetion?
Aetion fosters a collaborative global team environment with engineering leaders, employee-led initiatives like innovation day and DEI groups, professional growth through coaching and mentoring, and a commitment to equal advancement opportunities.
What makes a strong candidate for this Senior Machine Learning Engineer position?
Strong candidates will have experience leading the full software development lifecycle, proficiency in machine learning for healthcare problems using cloud technologies, and the ability to collaborate cross-functionally in a fast-evolving organization.
Aetion
Software solutions for real-world evidence analysis
About Aetion
Aetion develops software solutions that utilize real-world evidence (RWE) to assist life sciences companies, regulators, and purchasers in making informed decisions. Their software analyzes real-world data to provide insights into the effectiveness and safety of medical innovations, from initial hypotheses to long-term monitoring. Aetion's clients include major pharmaceutical companies and healthcare regulators, who benefit from the ability to generate and analyze diverse data sets for clinical insights that were previously hard to obtain. The company differentiates itself by offering a platform that not only manages longitudinal data but also generates synthetic health data using artificial intelligence. Aetion's goal is to maximize the return on investment for its clients by providing rapid insights that facilitate critical decision-making, ultimately expediting patient care and treatment options.
New York City, New YorkHeadquarters
2012Year Founded
$198MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
201-500Employees
Benefits
Medical, dental, & vision insurance
Free membership to OneMedical
FSA
4% 401(k) match
Commuter benefits for parking & transit
Unlimited PTO
Paid parental leave
Wellness stipend
Company activities
Risks
Emerging RWE tech companies pose a threat to Aetion's market share.
Rapid AI advancements may require Aetion to invest heavily in R&D.
Potential EU data privacy law changes could impact Aetion's operations and compliance costs.
Differentiation
Aetion's RWE platform offers real-time collaboration with biopharma and medical device companies.
The company utilizes patented rapid-cycle analytics technology for effective medical treatment insights.
Aetion's software generates synthetic health data using AI for longitudinal data management.
Upsides
Aetion's Barcelona tech hub expansion enhances RWE technology with European talent.
Ken Watson's appointment as CTO is set to drive strategic growth and innovation.
Partnerships like with Intuitive and FDA boost trust in Aetion's regulatory data validation.
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