Hop Labs

👥 1-10Artificial Intelligence (AI)Service IndustryMachine LearningInformation Technology💼 Private Company
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Hop Labs is a leading machine learning consultancy specializing in building and deploying production-grade ML systems for innovative businesses. We partner with startups, research institutions, and large enterprises to solve complex problems using cutting-edge AI and machine learning techniques. Our expertise spans research, engineering, strategy, and operations, enabling us to deliver impactful, scalable solutions. We leverage a robust technology stack including Python, PyTorch, AWS, and various data pipeline tools, coupled with a strong emphasis on engineering best practices such as unit testing, monitoring, and logging. Our fully distributed team prioritizes clear communication, collaboration, and a results-oriented work environment that values work-life balance. We offer competitive benefits, including comprehensive health insurance, flexible work schedules, and opportunities for continuous learning and professional growth. Hop Labs is a fast-growing company with a strong track record of success in the AI/ML space. Founded in 2012, we've consistently delivered high-impact projects for diverse clients. We offer a stimulating environment where you can contribute meaningfully to cutting-edge projects and develop your skills while enjoying the flexibility of a fully remote work arrangement. Our team currently ranges from 10-15 members. We are committed to building a diverse and inclusive workplace and encourage applications from individuals with all backgrounds. We value a collaborative and supportive environment, and our work culture is built on mutual respect and trust.

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📍 United States

🔍 Machine learning technical consulting

  • Significant experience with conducting machine learning research and applying LLMs.
  • Solid understanding of the latest AI/ML research trends and techniques.
  • Commitment to continual learning and professional growth.
  • Clarity and simplicity in code and communication.
  • Strong sense of ownership and initiative.
  • Clear and consistent communication with technical and non-technical stakeholders.
  • Collaborative mindset for teamwork and constructive feedback.
  • Attention to detail for complex projects.
  • Comfortable operating independently and as part of a small team.
  • Stay up-to-date with the latest literature and advancements in machine learning for LLMs.
  • Break down complex problems into smaller components and develop feasible solutions.
  • Conduct rigorous experiments using a scientific approach.
  • Design and implement experiments, analyze results, and draw meaningful conclusions.
  • Focus on thorough evaluation and iterative improvement of ML models.

Machine LearningAttention to detail

Posted 4 months ago
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📍 United States

🔍 Machine Learning

  • 5+ years of professional experience in software engineering.
  • Experience with construction and design of the entire ML pipeline, including training, deployment, and hosting.
  • Fluency in Python ML/data science stack (e.g., PyTorch, Scikit-Learn, Pandas).
  • Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructure-as-code (e.g., Terraform).
  • Proficiency with ETL/data pipelines and data stores.
  • Facility with web application technologies (e.g., FastAPI, UI development).
  • Interest in LLMs, generative AI, or deep learning preferred.
  • Build and improve ML-powered systems.
  • Propose end-to-end technical architectures that balance various factors.
  • Communicate effectively with both technical and non-technical stakeholders.

AWSPythonETLGCPMachine LearningPyTorchAzureData scienceFastAPIPandasTerraformAttention to detail

Posted 4 months ago
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