Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Influur, the pioneering app-based marketplace connecting Influencers, Creators, and Brands worldwide, is seeking their first dedicated Senior Machine Learning Engineer. This role presents a unique opportunity to shape the future of influencer marketing through ML innovation. The position requires a self-driven individual with 6+ years of experience who will be responsible for designing and implementing ML models that directly impact the platform's core features.
The role combines technical expertise in machine learning, deep learning, and MLOps with leadership responsibilities. You'll be working on crucial features like influencer-brand matching and content recommendations while building scalable ML pipelines. The position offers the chance to work with cutting-edge technologies including Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP.
As the first ML Engineer, you'll have the opportunity to establish best practices, mentor future team members, and work closely with cross-functional teams. The company offers a competitive salary range of $200,000-$250,000, along with stock options and a culture focused on growth and development.
Influur's leadership team values close collaboration and provides unique opportunities for both professional and personal growth. The company's commitment to being people-oriented and their focus on co-creation offers an exceptional employee experience in a diverse, fast-paced startup environment.
Responsibilities For Senior Machine Learning Engineer
- Design, develop, and deploy machine learning models to improve influencer-brand matching, content recommendations, and other core platform features
- Build scalable and production-ready ML pipelines that support real-time and batch processing
- Ensure model accuracy, performance, and robustness through rigorous testing and evaluation
- Work closely with product managers, engineers, and data scientists to define ML objectives
- Lead ML initiatives and evangelize best practices across the organization
- Support in the recruiting process of future ML hires
- Provide mentorship and guidance to future ML hires
- Partner with data engineers to ensure the availability of high-quality training data
- Analyze large-scale influencer marketing data to uncover insights
- Develop and maintain feature engineering pipelines
- Leverage cloud platforms (AWS, GCP) to deploy and scale ML solutions
- Optimize ML workflows for efficiency and cost-effectiveness
- Establish monitoring and continuous improvement frameworks for deployed models
Requirements For Senior Machine Learning Engineer
- 6+ years of experience in machine learning engineering, with a track record of deploying ML models in production environments
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with data processing frameworks such as Spark or distributed computing
- Knowledge of MLOps best practices, including CI/CD for ML models
- Strong understanding of deep learning, NLP, recommendation systems, and computer vision
- Excellent problem-solving skills and ability to work independently in an ambiguous environment
- Exceptional communication skills and the ability to collaborate effectively with cross-functional teams
Benefits For Senior Machine Learning Engineer
- Stock options
- Growth and development opportunities
- Fast-paced startup environment
- Collaboration with world-class team
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