Senior Machine Learning Engineer

Office Location: Lower Manhattan, NY

Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency

We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products.

Responsibilities:

• Design, develop, and optimize machine learning models and pipelines for deployment in production environments.
• Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.
• Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform.
• Implement best practices for model performance monitoring, versioning, and retraining.
• Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.
• Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.
• Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.
• 5+ years of experience in designing and deploying machine learning models in production.
• Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn .
• Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes).
• Proficiency in distributed computing frameworks like Spark, Ray, or Dask .
• Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring.
• Familiarity with large-scale data processing, data engineering principles, and feature stores.
• Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with reinforcement learning, NLP, or deep learning applications.
• Knowledge of graph-based ML, generative AI, or other advanced ML techniques.
• Exposure to edge AI and model optimization techniques (e.g., quantization, pruning).
• Contributions to open-source ML projects or publications in AI conferences.

Salary Range: 200k-230k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

Core Values & Expectations:

Impact
You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities.

Collaboration
You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes.

Passion for AI & Innovation
You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work.

• Competitive Salary: Aligned with experience and market standards.
• Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure.
• 401(k) Plan: Build your financial future with our retirement savings plan.
• Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines.
• Growth & Development: Access professional development, learning opportunities, and career advancement support.
• Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen.
• Team Bonding: Company-sponsored happy hours and social events to connect and unwind.