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Svitla Systems, Inc.

SENIOR ML ENGINEER

Svitla Systems, Inc.
Ukraine · Internship · Mid-Senior
Svitla Systems Inc. is looking for a Senior ML Engineer for a full-time position (40 hours per week) in Ukraine.

Our client is a human-centered AI company headquartered in South Carolina, with a distributed U.S. team. Led by experienced tech entrepreneurs, they focus on creating AI tools that enhance human intelligence by understanding context and connecting emotionally. Currently, they develop an AI platform empowering knowledge workers, creatives, and small businesses.

You will join their innovative Research & Development team to build and deploy robust, scalable machine learning systems. In this role, you’ll apply your software engineering skills to operationalize ML models and contribute to the infrastructure, tools, and processes powering AI-driven products. Collaborating closely with machine learning engineers, data scientists, and software engineers, you will bridge the gap between model development and real-world applications.

Key Research Papers Informing Their Work Include

  • MegaByte: https://arxiv.org/pdf/2305.07185
  • Mamba: https://arxiv.org/pdf/2312.00752
  • MambaByte: https://arxiv.org/pdf/2401.13660

Familiarity with these papers provides valuable context for their innovative ML solutions.

Requirements

  • 4-5 years of commercial experience with machine learning.
  • Solid foundation in software engineering principles, including data structures, algorithms, object-oriented design, and system design.
  • Solid knowledge of Python for software development, scripting, and machine learning applications.
  • Understanding core machine learning concepts, standard algorithms, and the model development lifecycle.
  • Knowledge of version control systems, notably Git.
  • Strong analytical and problem-solving skills, with an ability to debug complex systems.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Have a proactive and enthusiastic approach to learning new technologies and engineering practices in the ML domain.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science (with a strong engineering/CS focus), or a closely related technical field

Nice to have

  • Experience with Metal and ROCm.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with Linux/Unix environments, shell scripting, and command-line tools.
  • Exposure to containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes).
  • Basic understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their ML/AI services.
  • Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
  • Familiarity with MLOps concepts, tools (e.g., MLflow, Kubeflow), and best practices.
  • Experience with API development and integration (e.g., REST, gRPC).
  • Knowledge of C++ for performance-critical components in ML systems.
  • Basic understanding of CUDA programming and GPU architecture for accelerating ML workloads.
  • Previous internship experience in machine learning engineering, software engineering, or a related role.

Responsibilities

  • Develop, implement, and maintain machine learning pipelines for model training, evaluation, deployment, and monitoring.
  • Integrate machine learning models into production applications and services to ensure reliability and optimal performance.
  • Contribute to the design and development of MLOps tools and infrastructure for model versioning, management, and automation.
  • Optimize machine learning models and inference processes for speed, scalability, and resource efficiency.
  • Implement testing strategies and quality assurance measures for machine learning (ML) systems.
  • Troubleshoot and resolve issues related to the deployment and operation of machine learning models.
  • Apply software engineering best practices (e.g., version control with Git, code reviews, unit/integration testing, CI/CD) to ML projects.
  • Create and maintain clear documentation for ML system designs, deployment procedures, and operational playbooks.
  • Collaborate effectively with data scientists to understand model requirements and with software engineers to ensure seamless integration.
  • Actively participate in team meetings, technical discussions, and contribute to a culture of continuous improvement and innovation.

We offer

  • US and EU projects based on advanced technologies.
  • Competitive compensation based on skills and experience.
  • Annual performance appraisals.
  • Flexibility in workspace, either remote or in one of our development offices.
  • Comprehensive medical insurance including dental and massages.
  • Sport reimbursement program for onsite and online activities.
  • Support of a healthy lifestyle, compensation for running events.
  • Bonuses for recommendations of new employees.
  • Bonuses for article writing, public talks, other activities.
  • Personal loan budget available for long-term personnel.
  • 20 vacation days, 10 national holidays and sick leaves.
  • Maternity leave policy and family days off.
  • Full compensation for conferences, courses, English classes.
  • Free webinars, meetups and conferences organized by Svitla.
  • Gifts for New Year, anniversaries, children, and more.
  • Fun corporate celebrations and activities, regular lectures on various topics.
  • Awesome team, friendly and supportive community!

Key Skills

Ranked by relevance

machine learning ai mlops cicd containerization data structures shell scripting tensorflow gitlab ci ai tools kubeflow jenkins pytorch python docker gitlab mlflow cloud git aws gcp c
Login to Apply
Posted
Jun 10, 2025
Type
Internship
Level
Mid-Senior
Location
Ukraine
Company
Svitla Systems, Inc.

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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