Principal Software Engineer, Machine Learning

at  Moderna

Cambridge, MA 02139, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate14 Sep, 2024Not Specified17 Jun, 20247 year(s) or aboveGood communication skillsNoNo
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Description:

The Role
Joining Moderna offers the unique opportunity to be part of a pioneering team that’s revolutionizing medicine through mRNA technology with a diverse pipeline of development programs across various diseases. As an employee, you’ll be part of a continually growing organization working alongside exceptional colleagues and strategic partners worldwide, contributing to global health initiatives. Moderna’s commitment to advancing the technological frontier of mRNA medicines ensures a challenging and rewarding career experience with the potential to make a significant impact on patients’ lives worldwide.
We are seeking a skilled Principal Software Engineer to join our dynamic team of experts in developing cutting-edge machine learning systems for real-world applications. As a Principal Software Engineer, you will be at the forefront of designing, implementing, and maintaining software that integrates advanced machine learning models into scalable, robust, and high-performance production systems.
Here’s What You’ll Do
Lead the design and development of software systems for machine learning solutions, ensuring scalability, efficiency, and robustness.
Collaborate with data scientists, product managers, and other stakeholders to understand requirements and translate them into technical specifications.
Write clean, maintainable, and well-documented code in a variety of programming languages.
Architect and implement end-to-end machine learning pipelines, following best practices for data ingestion, preprocessing, re-training, evaluation, deployment, CI/CD, and automated testing.
Optimize existing machine learning systems for performance and scalability.
Develop and maintain high-performance APIs and microservices to support AI applications.
Implement best practices for software development, including code reviews, testing, and documentation.
Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
Stay abreast of the latest advancements in AI and machine learning, and integrate new technologies and methodologies into our systems.
Ensure compliance with data security and privacy regulations throughout the development lifecycle.
Troubleshoot and resolve complex technical issues, ensuring the reliability and performance of deployed systems.
Additional duties as may be assigned from time to time
Here’s What You’ll Need (Minimum Qualifications)
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
Extensive experience (7+ years) in software engineering, with a focus on AI and machine learning.
Proven track record of designing and deploying large-scale machine learning systems in production environments.
Extensive experience with Python, and lower-level programming languages like C++.
Deep understanding of deep learning frameworks (e.g., PyTorch, PyTorch Lightning, JAX) and libraries (e.g., CUDA).
Ability to design and implement solutions on cloud services (AWS, Azure, Databricks, GCP).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with fine-tuning and deploying LLM technologies (e.g., Llama) on cloud infrastructure (e.g., AWS Bedrock).
Strong understanding of software development life cycle, DevOps practices, and Agile methodologies.
Proficiency in distributed systems, microservices architecture, and RESTful API development
Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git).
Familiarity with monitoring and logging tools (e.g., Prometheus, Kafka, ELK Stack).
Strong problem-solving skills and the ability to think critically and creatively.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Here’s What You’ll Bring to the Table (Preferred Qualifications)
Experience with data engineering and ETL processes.
Experience with MLOps Frameworks (e.g. Kubeflow, MLFlow, Airflow, AWS SageMaker).
Knowledge of database systems (e.g., SQL, NoSQL) and data warehousing solutions (e.g., AWS Redshift).
Familiarity with big data technologies (e.g., Hadoop, Spark).
A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative.
Moderna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:
Highly competitive and inclusive medical, dental and vision coverage options
Flexible Spending Accounts for medical expenses and dependent care expenses
Lifestyle Spending Account funds to help you engage in personal enrichment and self-care activities
Family care benefits, including subsidized back-up care options and on-demand tutoring
Free premium access to fitness, nutrition, and mindfulness classes
Exclusive preferred pricing on Peloton fitness equipment
Adoption and family-planning benefits
Dedicated care coordination support for our LGBTQ+ community

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:7.0Max:12.0 year(s)

Computer Software/Engineering

IT Software - System Programming

Software Engineering

Graduate

Proficient

1

Cambridge, MA 02139, USA