Machine Learning Engineer (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in the United States.

This role offers a unique opportunity to design and implement AI-powered music and podcast recommendation experiences, bringing next-generation audio innovations to millions of users. The successful candidate will work in a fast-paced, collaborative environment alongside engineers, product managers, designers, and researchers, prototyping end-to-end AI solutions that leverage large language models (LLMs), recommender systems, and agent frameworks. You will contribute to shaping the future of audio experiences, exploring cutting-edge AI technologies, refining ML workflows, and ensuring high-quality software delivery. This position encourages curiosity, creativity, and hands-on learning while providing exposure to state-of-the-art AI tools and real-world impact at scale.

Accountabilities

·         Rapidly prototype, iterate, and ship AI-powered recommendation experiences for music and podcasts.

·         Explore and evaluate new models, tools, and frameworks, integrating AI innovations into production workflows.

·         Develop and fine-tune ML models, including LLMs, for autonomous and multi-step recommendation tasks.

·         Critically evaluate AI-generated code to ensure correctness, performance, and alignment with engineering best practices.

·         Collaborate cross-functionally with design, product, research, and engineering teams to bring new ideas from concept to launch.

·         Leverage AI coding assistants to accelerate development of full-stack prototypes.

·         Contribute to building team culture and mentorship around AI engineering best practices.

·         Hands-on experience with Python, Java, or Scala and modern ML frameworks such as PyTorch or TensorFlow.

·         Knowledge of machine learning fundamentals, with experience in fine-tuning and evaluating LLMs.

·         Familiarity with AI prototyping, prompt engineering, and integrating AI into multi-step workflows.

·         Experience building end-to-end solutions across the stack, from backend systems to user interactions.

·         Strong collaboration skills in interdisciplinary teams and ability to communicate technical concepts to non-technical stakeholders.

·         Self-motivated, creative, and enthusiastic about exploring new AI capabilities and technologies.

·         Formal education in Computer Science, AI, Data Science, or equivalent practical experience is preferred.

·         Experience in music, audio, or recommendation systems is a plus.

·         Competitive base salary range: $138,250–$197,500 USD, plus equity.

·         Health insurance, 401(k) retirement plan, and six-month paid parental leave.

·         Monthly meal allowance and generous paid time off (23 days) plus 13 flexible holidays.

·         Paid sick leave and comprehensive benefits package.

·         Opportunities to work remotely within North America, collaborating in Eastern Standard Time.

·         Exposure to cutting-edge AI tools and innovative projects with large-scale impact.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

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