Description:

Jobgether is a pioneering HR Tech startup operating entirely remotely, focused on empowering individuals to discover job opportunities that align with their lifestyles.
The company is the largest job search engine designed exclusively for remote workers, emphasizing flexibility as a cornerstone of the future of work.
The Senior Machine Learning Engineer will join the Content and Data team to design and implement a cost-efficient, robust skill-matching platform that optimizes candidate-to-job matching.
Responsibilities include conceiving and implementing the overall system architecture, developing a roadmap for cost efficiency and performance, building and maintaining a skill ontology, designing APIs or microservices for skill matching, optimizing the system for real-time matching, establishing monitoring pipelines, and collaborating with product managers and recruiters.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Physics, or a related field is required.
Equivalent practical experience or demonstrated projects in AI, NLP, machine learning, or software engineering is also acceptable.
Candidates must have 5+ years of hands-on software engineering or data science experience, or a strong portfolio demonstrating equivalent skills.
Proficiency in Python and a solid understanding of data structures and algorithms are essential.
Experience with SQL (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB, Redis) databases is required.
Familiarity with ML/NLP/AI tools such as transformers (BERT, GPT, etc.) and word embeddings (Word2Vec, FastText) is necessary.
Experience in designing or maintaining hierarchical skill/knowledge representations is highly valued.
Knowledge of cloud services (AWS, Azure, or GCP) is required.
Strong analytical and quantitative skills, particularly in problem-solving and statistical thinking, are essential.
Excellent communication and collaboration abilities are necessary, with the ability to explain complex technical topics to non-technical stakeholders.
Curiosity and openness to continuous learning, especially in AI/ML advancements, are important.
Fluency in English and Spanish is highly desirable.

The position offers a remote work culture, allowing employees to work from anywhere in the world.
Employees will be part of an innovative environment that is shaping the future of remote work.
There are opportunities for professional growth by working on cutting-edge technologies and challenging projects that drive real impact.
The role includes collaboration with a diverse team of passionate professionals from around the globe.