Machine Learning Engineer

About Us:

We're passionate about connecting top-tier remote developers with handpicked Silicon Valley companies. Our goal is to provide developers with competitive and stable income and access to the best companies in the industry, all while offering them a flexible work environment and a host of amazing benefits. We're proud to work with trusted partners such as Webflow, IMX, Deel, Immutable, O’Gara, LegalSoft, and more.

What we offer:

• Work remotely
• Lots of PTO
• Monthly analysis for raises
• Healthcare insurance
• Wi-Fi costs covered
• Unlimited Udemy courses (and books) and much more

Role Overview:

As a Senior Software Engineer, you will play a pivotal role in building and scaling our innovative platform. You will design, develop, and maintain high-performance systems, and collaborate with cross-functional teams to deliver new features. If you’re passionate about AI, excited by technical challenges, and eager to make an impact, we’d love to meet you.

Key Responsibilities:

• Design and implement machine learning algorithms tailored for specific functions such as indexing, summarization or search
• Oversee data acquisition, storage, and distribution for machine learning projects, ensuring data quality and compliance with privacy policies
• Perform data preprocessing including normalization, transformation, and feature engineering to prepare it for machine learning models
• Develop machine learning models using frameworks like TensorFlow or PyTorch, focusing on scalability and efficiency
• Develop automated tools to monitor and report on model performance, identifying and addressing performance degradation or data anomalies as they arise
• Develop evaluation metrics to judge efficacy of models, both from a cost and latency perspective
• Clearly articulate machine learning concepts and the implications of model outcomes to non-technical stakeholders through presentations and written documentation
• Clearly articulate machine learning concepts and the implications of model outcomes to non-technical stakeholders through presentations and written documentation
• Collaborate with DevOps teams to deploy machine learning models in a cloud-based environment, ensuring that models are easily maintainable, scalable, and robust

Required Qualifications:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of professional experience in Python development.
• Strong proficiency in SQL (PostgreSQL or MySQL).
• Experience with asynchronous programming and RESTful API development.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and microservices architecture.

Ideal Candidate:

• AI & NLP Enthusiast: Deep understanding of NLP techniques, with hands-on experience in implementing and fine-tuning LLMs.
• Innovator: Experience with AI and NLP libraries (e.g., transformers, spaCy, NLTK) and a track record of developing conversational AI systems or similar NLP projects.
• Lifelong Learner: Someone who actively follows the latest research in AI and NLP, contributes to open-source projects, and is passionate about pushing the boundaries of technology.
• Communicator: Ability to articulate complex AI concepts to both technical and non-technical stakeholders.