Machine Learning Engineer - Helix

About the position

The Machine Learning Engineer at CNXN Helix is responsible for designing, developing, and deploying cutting-edge AI solutions that deliver measurable impact across diverse real-world use cases. The Machine Learning Engineer collaborates with cross-functional teams to design, implement, and optimize machine learning models into production environments, continuously monitoring and optimizing model performance and accuracy. Working closely with data scientists, software engineers, and product managers, the Machine Learning Engineer works to align project goals and ensure seamless integration of AI solutions. The Engineer role involves researching and implementing new algorithms and techniques to improve existing solutions, maintaining comprehensive documentation of models, experiments, and processes. Additionally, the Machine Learning Engineer provides guidance to junior team members and fosters a culture of continuous learning and innovation. This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH, or Boston or New York metropolitan areas.

Responsibilities

• Designs, implements, and trains machine learning models for various applications.
• Develops and maintains scalable data pipelines to support model training and inference.
• Collaborates with Machine Learning Operations Engineers to deploy models into production environments.
• Continuously monitors and optimizes model performance and accuracy.
• Collaborates closely with data scientists, software engineers, and product managers to align on project goals.
• Researches and implements new algorithms and techniques to improve existing solutions.
• Maintains comprehensive documentation of models, experiments, and processes.
• Provides mentorship and guidance to junior team members and contributes to a culture of learning.

Requirements

• Bachelor's degree required; Master's or PhD preferred with at least 6 years related experience.
• Proficient in Python and experience with libraries like TensorFlow, PyTorch.
• Strong understanding of ML algorithms, model architectures, and training techniques.
• Experience with SQL and NoSQL databases.
• Familiarity with AWS, Azure, or GCP machine learning services.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Hadoop, Spark, or similar frameworks is a plus.
• Strong problem-solving abilities and attention to detail.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in a multidisciplinary team.
• Eagerness to learn new technologies and adapt to changing project requirements.
• Real world Generative and Predictive foundational experience preferred.
• Knowledge in identity, security, access management, workflow and/or developer-facing products preferred.
• Direct experience working with cross-organizational teams.
• Experience in AI technology policy, compliance, trust and safety policy a plus.
• NLP and Computer Vision Experience a plus.

Nice-to-haves

• Knowledge of Hadoop, Spark, or similar frameworks.
• Real world Generative and Predictive foundational experience.
• Knowledge in identity, security, access management, workflow and/or developer-facing products.
• Experience in AI technology policy, compliance, trust and safety policy.
• NLP and Computer Vision Experience.

Benefits

• 401k plans
• medical insurance
• free therapy visits
• mental health coaching and tools
• meditation resources
• generous paid time off package including vacation and sick time, Wellness and Volunteer Time Off days