Recruiting is a human-to-human transaction, but sadly, it has been lost in translation. We are here to change that.

We are on a mission to redefine how we hire humans. By leveraging technology, we bring back the personal connection, the emotions, and the true character behind each applicant. Our innovative platform empowers companies to move beyond traditional resumes and embrace a more holistic approach to talent acquisition. We believe that by listening to candidates' stories, we unlock their true potential and discover the hidden gems that traditional methods often overlook.

We are fully remote team based in Oakland | Seattle | New York

Join our innovative team as a Machine Learning Engineer, where you'll design and implement cutting-edge machine learning models to solve real-world challenges. You'll collaborate with cross-functional teams to develop scalable systems, analyze complex datasets, and deploy AI solutions in production. Key responsibilities include building predictive models, fine-tuning algorithms, and ensuring the performance and accuracy of systems.

Required Skills:

• Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of machine learning algorithms, data structures, and optimization techniques.
• Experience with data preprocessing, feature engineering, and large-scale data pipelines.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps practices.

Nice-to-Have Skills:

• Experience with natural language processing (NLP) or computer vision.
• Familiarity with big data tools like Spark or Hadoop.
• A background in software engineering or system architecture.