Lead Software Engineer, ML Platform
Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences.
Job Description
As Lead Software Engineer (ML Platform), you will play an instrumental role in advancing our core machine learning platform and infrastructure. You will work with AI research teams to turn cutting-edge machine learning models into commercial products. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high quality, scalable AI solutions. The fast pace of product releases in this field means that there is always something new and exciting to work on, which keeps the role engaging and challenging. By combining digital marketing and AI, you have the potential to make a significant impact on the way businesses interact with their customers.
This role will be reporting to the Director of Engineering (AI).
Responsibilities:
- Lead ML Platform strategy and architecture according to industry standards for monitoring, orchestration, and testing.
- Successfully transform AI research into commercial products that meet the needs of our clients.
- Ensure that the productized ML models are scalable, reliable, and of high quality.
- Foster close collaboration with AI research teams to ensure that their innovations are effectively integrated into the product development process.
- Release features that deliver measurable and tangible business value.
- Conduct design reviews and hold the team to technical and operational rigor.
- Serve as a thought leader, providing technical guidance and mentorship to junior developers and contributing to the overall technical excellence of the organization.
Requirements:
- 8+ years SWE experience, including 4+ years of ML/MLOps experience
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related technical field
- Experience architecting, building, and maintaining production ML systems at scale
- Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
- Proficiency with Python
- Experience with large-scale data processing frameworks (we use PySpark)
- Experience with cloud computing platforms (we use Google Cloud Platform (GCP)
- Experience integrating common ML frameworks (we use PyTorch, scikit-learn, etc.)
- Experience implementing microservices and APIs (we use gRPC)
- Familiarity with machine learning concepts, such as traditional ML, deep learning, generative AI/LLMs, statistical modeling, or recommender systems
- Able to collaborate with AI researchers, product managers, and other engineering teams
- Strong technical leadership skills
- Able to work effectively in a fast-paced, deadline-driven environment
- Able to inspire excellence and elevate the quality of engineering solutions
The base pay range for this position is $210,000 - $230,000 USD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.
As Lead Software Engineer (ML Platform), you will play an instrumental role in advancing our core machine learning platform and infrastructure. You will work with AI research teams to turn cutting-edge machine learning models into commercial products. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high quality, scalable AI solutions. The fast pace of product releases in this field means that there is always something new and exciting to work on, which keeps the role engaging and challenging. By combining digital marketing and AI, you have the potential to make a significant impact on the way businesses interact with their customers.
This role will be reporting to the Director of Engineering (AI).
Responsibilities:
- Lead ML Platform strategy and architecture according to industry standards for monitoring, orchestration, and testing.
- Successfully transform AI research into commercial products that meet the needs of our clients.
- Ensure that the productized ML models are scalable, reliable, and of high quality.
- Foster close collaboration with AI research teams to ensure that their innovations are effectively integrated into the product development process.
- Release features that deliver measurable and tangible business value.
- Conduct design reviews and hold the team to technical and operational rigor.
- Serve as a thought leader, providing technical guidance and mentorship to junior developers and contributing to the overall technical excellence of the organization.
Requirements:
- 8+ years SWE experience, including 4+ years of ML/MLOps experience
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related technical field
- Experience architecting, building, and maintaining production ML systems at scale
- Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
- Proficiency with Python
- Experience with large-scale data processing frameworks (we use PySpark)
- Experience with cloud computing platforms (we use Google Cloud Platform (GCP)
- Experience integrating common ML frameworks (we use PyTorch, scikit-learn, etc.)
- Experience implementing microservices and APIs (we use gRPC)
- Familiarity with machine learning concepts, such as traditional ML, deep learning, generative AI/LLMs, statistical modeling, or recommender systems
- Able to collaborate with AI researchers, product managers, and other engineering teams
- Strong technical leadership skills
- Able to work effectively in a fast-paced, deadline-driven environment
- Able to inspire excellence and elevate the quality of engineering solutions
The base pay range for this position is $210,000 - $230,000 USD/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.
