Senior Software Engineer – AI/ML Platform

Job Description

Senior Software Engineer – AI/ML Platform

We are searching for a highly skilled and passionate Senior Software Engineer to join our innovative AI/ML Platform team. In this pivotal role, you will be instrumental in designing, building, and scaling the core infrastructure and tools that empower our data scientists and machine learning engineers to develop, deploy, and manage cutting-edge AI models across our product suite. If you thrive in a collaborative environment, possess a deep understanding of distributed systems, and are eager to contribute to a platform that defines the future of intelligent applications, we encourage you to apply.

About [Your Company Name]

[Your Company Name] is a leading innovator in [industry, e.g., cloud computing, digital media, healthcare technology], dedicated to transforming how the world [company’s core mission, e.g., connects, learns, operates]. Our mission is to [brief mission statement]. We are a fast-growing, dynamic company committed to fostering a culture of curiosity, collaboration, and continuous improvement. We believe in empowering our employees to tackle complex challenges and make a significant impact on our products and our customers’ lives.

The Opportunity

As a Senior Software Engineer on the AI/ML Platform team, you will play a critical role in shaping the foundation of our AI capabilities. You will work on a broad range of challenges, from optimizing data pipelines and model training infrastructure to developing robust MLOps tools for deployment and monitoring. This is an exceptional opportunity to have a tangible impact on our product innovation, working with cutting-edge technologies in a collaborative and supportive environment.

Key Responsibilities

• Design and develop scalable, robust, and high-performance infrastructure for AI/ML model training, inference, and deployment.
• Build and maintain core platform services including feature stores, model registries, experiment tracking, and monitoring systems.
• Optimize existing AI/ML pipelines for performance, cost-efficiency, and reliability, leveraging cloud-native technologies.
• Collaborate closely with data scientists and ML engineers to understand their needs and translate them into platform features and improvements.
• Drive architectural decisions and provide technical leadership on complex projects within the team and across engineering.
• Implement best practices for MLOps, including CI/CD, automated testing, and infrastructure-as-code.
• Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
• Stay abreast of the latest advancements in AI/ML technologies, cloud computing, and distributed systems.

What You’ll Bring (Qualifications)

Required Skills & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software development experience, with a strong focus on building scalable backend systems or infrastructure.
• Proficiency in at least one modern programming language such as Python, Go, Java, or C++.
• Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Solid understanding of distributed systems principles, microservices architecture, and API design.
• Experience with data processing frameworks (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., object storage, relational and NoSQL databases).
• Demonstrated ability to design, develop, and deploy production-grade software.
• Strong problem-solving skills, with an ability to debug complex systems and optimize performance.
• Excellent communication and collaboration skills, with a proven ability to work effectively in a team environment.

Preferred Skills & Experience:

• Experience building or contributing to AI/ML platforms or MLOps tools.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with infrastructure-as-code tools like Terraform or CloudFormation.
• Knowledge of big data technologies and data warehousing concepts.
• Contributions to open-source projects related to AI/ML or distributed systems.

Why Join Us? (Benefits & Perks)

At [Your Company Name], we believe in investing in our employees. We offer a comprehensive benefits package designed to support your well-being, growth, and financial future:

• Competitive Salary & Equity Package: We recognize and reward top talent.
• Comprehensive Health Benefits: Medical, Dental, and Vision insurance plans with generous employer contributions.
• 401(k) Retirement Plan: With company matching to help you plan for your future.
• Flexible Paid Time Off (PTO): Take the time you need to recharge and maintain work-life balance.
• Professional Development: Budget for conferences, courses, and certifications to help you grow your skills.
• Cutting-Edge Technology: Work with the latest tools and contribute to impactful projects.
• Dynamic Work Environment: Collaborative, innovative, and inclusive culture.
• Wellness Programs: Initiatives to support your physical and mental health.
• Commuter Benefits / Remote Options: Depending on role and location, offering flexibility.
• Team Events & Socials: Regular opportunities to connect with colleagues and build camaraderie.

Our Culture

We pride ourselves on a culture of innovation, respect, and continuous learning. We encourage creativity, embrace diverse perspectives, and foster an environment where every voice is heard. We believe in empowering our teams to take ownership, experiment, and learn from challenges. Our leadership is committed to transparency and supporting career growth for all employees.

Commitment to Diversity & Inclusion

[Your Company Name] is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

How to Apply

If you are excited about this opportunity and believe you have the skills and passion to contribute to our team, please submit your resume and a cover letter detailing your relevant experience and why you are interested in joining [Your Company Name] through our careers portal: [Link to Careers Page]. We look forward to reviewing your application!