Staff Software Engineer (Machine Learning)
Offer summary
Qualifications:
Minimum 10 years of software engineering experience, with at least 3 years in ML roles., Strong expertise in probabilistic modeling, Bayesian inference, and variational inference., Proficiency in Python and experience with deep learning frameworks like PyTorch, TensorFlow, or JAX., Bachelor's degree in Computer Science or related field, or equivalent work experience..Key responsibilities:
- Translate research concepts like Active Inference into production software.
- Design and develop scalable ML infrastructure focusing on Bayesian inference and uncertainty quantification.
- Implement active inference agents and models for adaptive, goal-directed behavior.
- Optimize ML pipelines from data ingestion to deployment and monitoring.
Job description
Staff Software Engineer (Machine Learning) Remote: North America VERSES is a cognitive computing company building nextgeneration intelligent software systems modeled after the Wisdom and Genius of Nature. We are a distributed, diverse, and inclusive workforce that aspires to do our best work on important problems with exceptional people.
We’re looking for trailblazers and problem solvers passionate about tackling important globalscale challenges so if that sounds appealing, let’s imagine a smarter world together.
🚀Join Our Adventure!
At VERSES, were shaping the future of computing with our natural computing platform, Genius. Were looking for a Staff Software Engineer (ML focused) to our product team and make a direct impact on the development of our agentic enterprise solution.
✍️Role and Responsibilities
As a Staff Software Engineer (ML focused) you will:
- Migrate research concepts and ideologies (ie Active Inference) into production software
-
- Contribute to the design and development of robust, scalable, ML infrastructure with emphasis on Bayesian inference and uncertainty quantification.
-
- Implement active inference agents and models to support adaptive, goaldirected behavior in dynamic environments
-
- Optimize endtoend ML pipelines from data ingestion and preprocessing to deployment and monitoring
-
- Ensure observability, reproducibility, and reliability of models throughout the development lifecycle.
-
- Rapidly prototype systems for live demonstration, applying cuttingedge technologies to connect the physical and digital worlds
-
- Collaborate with crossfunctional teams, including data scientists, researchers, designers, and other engineers, to define software requirements and integrate probabilistic models into production systems.
-
- Actively participate in technical discussions, offer mentorship, and ensure adherence to coding standards and best practices through active participation in code reviews.
-
- Work in a small and tightknit agile innovation unit running ahead of the main product team
-
- Develop technical documentation and participate in knowledge sharing sessions
-
Requirements
🎓Essential Qualifications
- At least 10 years of experience in software engineering, including 3+ years in MLfocused roles.
-
- Strong expertise in probabilistic modeling and Bayesian inference, including a solid understanding of variational inference
-
- Experience designing ML pipelines using tools like Airflow, Kubeflow, or MLflow.
-
- Fluency in Python and experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX)
-
- Experience with agile software development methodologies
-
Education & Technical Experience
- Bachelors degree in Computer Science or a related field or equivalent years of work experience
-
- Experience with reinforcement learning or control theory frameworks.
-
- Experience with core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference
-
- Track record of deploying ML models in highavailability systems (realtime inference, edge computing)
-
- Experience with probabilistic programming frameworks to solve real world inference and decision making problems.
-
Communication and Soft Skills
- Excellent problemsolving and analytical skills
-
- Strong written and verbal communication skills
-
- A passion and spirit of innovation
-
Benefits
🌱In addition to fostering a culture of highly engaged, emotionally intelligent, and energetic people we offer:
- Global virtual work environment (although some positions may need to operate within specific time zones)
-
- Responsible paid time off policy (RTO), and companyrecognized Holidays.
-
- Generous total rewards package
-
🌟Job Type
- Regular, Fulltime
-
- Remote North America
-
- Starting at $180,000 for US based individuals; geographically adjusted as appropriate to location.
-
VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States without the need for sponsorship will be considered.
VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.
VERSES is a cognitive computing company building nextgeneration intelligent software systems modeled after the Wisdom and Genius of Nature. We are a distributed, diverse, and inclusive workforce that aspires to do our best work on important problems with exceptional people.
We’re looking for trailblazers and problem solvers passionate about tackling important globalscale challenges so if that sounds appealing, let’s imagine a smarter world together.
🚀Join Our Adventure!
At VERSES, were shaping the future of computing with our natural computing platform, Genius. Were looking for a Staff Software Engineer (ML focused) to our product team and make a direct impact on the development of our agentic enterprise solution.
✍️Role and Responsibilities
As a Staff Software Engineer (ML focused) you will:
- Migrate research concepts and ideologies (ie Active Inference) into production software
- Contribute to the design and development of robust, scalable, ML infrastructure with emphasis on Bayesian inference and uncertainty quantification.
- Implement active inference agents and models to support adaptive, goaldirected behavior in dynamic environments
- Optimize endtoend ML pipelines from data ingestion and preprocessing to deployment and monitoring
- Ensure observability, reproducibility, and reliability of models throughout the development lifecycle.
- Rapidly prototype systems for live demonstration, applying cuttingedge technologies to connect the physical and digital worlds
- Collaborate with crossfunctional teams, including data scientists, researchers, designers, and other engineers, to define software requirements and integrate probabilistic models into production systems.
- Actively participate in technical discussions, offer mentorship, and ensure adherence to coding standards and best practices through active participation in code reviews.
- Work in a small and tightknit agile innovation unit running ahead of the main product team
- Develop technical documentation and participate in knowledge sharing sessions
-
- At least 10 years of experience in software engineering, including 3+ years in MLfocused roles.
- Strong expertise in probabilistic modeling and Bayesian inference, including a solid understanding of variational inference
- Experience designing ML pipelines using tools like Airflow, Kubeflow, or MLflow.
- Fluency in Python and experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX)
- Experience with agile software development methodologies
-
- Bachelors degree in Computer Science or a related field or equivalent years of work experience
- Experience with reinforcement learning or control theory frameworks.
- Experience with core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference
- Track record of deploying ML models in highavailability systems (realtime inference, edge computing)
- Experience with probabilistic programming frameworks to solve real world inference and decision making problems.
-
- Excellent problemsolving and analytical skills
- Strong written and verbal communication skills
- A passion and spirit of innovation
-
- Global virtual work environment (although some positions may need to operate within specific time zones)
- Responsible paid time off policy (RTO), and companyrecognized Holidays.
- Generous total rewards package
-
- Regular, Fulltime
- Remote North America
- Starting at $180,000 for US based individuals; geographically adjusted as appropriate to location.
-
VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States without the need for sponsorship will be considered.
VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.
🌟Job Type
Benefits
🌱In addition to fostering a culture of highly engaged, emotionally intelligent, and energetic people we offer:
Communication and Soft Skills
Education & Technical Experience
Requirements
🎓Essential Qualifications
Required profile
Experience
Hard Skills
Other Skills
- Active Learning
- Analytical Skills
- Communication
- Problem Solving
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