Multi Media LLC
Machine Learning Engineer
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada5 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
You Will:
- Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling.
- Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements.
- Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences.
- Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows.
- Work with large-scale datasets to train, evaluate, monitor, and improve ML systems.
- Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact.
- Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.
RequirementsYou have:
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience.
RequirementsYou have:
- 3+ years of experience building, deploying, or maintaining machine learning systems in production environments.
- Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems.
- Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization.
- Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data.
- Excellent Python programming skills.
- Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools.
- Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring.
- Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems.
Bonus points:
- Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.
Benefits
- Fair and competitive base salary
- Fully Remote Optional
- Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
- Long & Short term disability insurance
- Unlimited PTO
- Annual Year-End Company Closure
- Optional 401k with 5% matching
- 12 Paid Holidays
- Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
- Employee Assistance and Employee Recognition Programs
- And much more!
Vagas similares
Mantenha uma lista reserva.
Stack
Use estas tags para comparar vagas remotas similares.
Elegibilidade de localização
Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.
Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.
Fluxo de contratação
O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.
1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.