Remote Jobs

Reddit logo

Senior Staff Engineer - GraphQL

Reddit

Location
United States of America
Posted
Salary Range
232k - 326k USD

Senior Staff Software Engineer for GraphQL architecture at Reddit

Airalo logo

Senior Paid Search Specialist, User Experience

Airalo

Location
Germany
Posted

Senior Paid Search Specialist at Airalo: Develop mobile app acquisition campaigns, analyze user data, and drive growth in a remote-first work environment.

Strive Health logo

RN Care Manager - TCM

Strive Health

Location
United States of America
Posted
Salary Range
74k - 90k USD

Coordinate care for CKD/ESRD patients, manage diverse caseloads, and collaborate with healthcare professionals to enhance patient care delivery through a hybrid work model.

Voodoo logo

Staff Engineer - Gaming Backend

Voodoo

Location
Croatia
Posted

Backend engineer for scalable mobile games with Voodoo, utilizing Golang and collaborating with game developers.

Creatio logo

Regional Sales Director

Creatio

Location
United Kingdom
Posted

Lead our UK sales team as a Regional Sales Director, driving growth through strategic sales initiatives and building strong client relationships with our award-winning SaaS solutions. Enjoy a flexible remote-first model and a supportive work environment.

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Regional Sales Director

Grafana Labs

Location
Australia
Posted
Salary Range
480k - 520k AUD

Lead sales efforts in Australia as Regional Sales Director, driving revenue growth by mentoring teams, developing strategies, and building customer relationships. Requires technical expertise and proven sales leadership skills.

Kueski logo

Staff Software Engineer (Mobile)

Kueski

Location
Mexico
Posted

Desarrolla aplicaciones móviles fiables con Kueski, lidera equipos y promueve mejores prácticas en arquitectura y desarrollo de software.

Irreducible logo

Staff Rust Engineer

Irreducible

Location
Croatia
Posted
Salary Range
150k - 250k USD

Optimize and develop high-performance cryptographic software solutions using Rust, collaborate on innovative projects, and lead a team of engineers in advancing zero-knowledge proofs.

OpenX logo

Staff Software Engineer (Python)

OpenX

Location
Poland
Posted

Join OpenX as a Staff Software Engineer (Python) and contribute to high-scale ad marketplaces. Collaborate with a full-stack team and shape the future of digital advertising.

Welocalize logo

Machine Learning Engineer – Generative AI & NLP Specialist

Welocalize

Job Location

Job Summary

We are seeking a Machine Learning Engineer – Generative AI & NLP Specialist to design, develop, and implement cutting-edge AI-driven systems. The ideal candidate will have extensive experience in end-to-end machine learning lifecycles, large language models, and the ability to create scalable, secure, and efficient AI solutions. This role will focus on enhancing translation systems using advanced NLP techniques and Generative AI (GenAI). The successful candidate will work with a talented team to collaborate on impactful projects, contribute to groundbreaking research, and shape the future of AI. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, this is an exciting opportunity for a seasoned founder or early tinkerer with AI. The role involves designing and optimizing translation systems, taking ownership of the machine learning pipeline, and ensuring compliance with security standards.

ROLE OVERVIEW

The Machine Learning Engineer – Generative AI & NLP Specialist to design, develop, and implement cutting-edge AI-driven systems. This role will focus on enhancing translation systems using advanced NLP techniques and Generative AI (GenAI). The ideal candidate will have extensive experience in end-to-end machine learning (ML) lifecycles, large language models (LLMs), and the ability to create scalable, secure, and efficient AI solutions.

KEY RESPONSIBILITIES

- Design and optimize translation systems leveraging advanced NLP and Generative AI (GenAI) techniques.
- Focus on delivering contextually accurate, multilingual solutions with domain-specific customizations to meet diverse client needs.
- Continuously improve performance using metrics like BLEU scores and human evaluation benchmarks.
- Take ownership of the entire machine learning pipeline, from prototyping and concept validation to scalable production deployment.
- Collaborate with cross-functional teams to align solutions with business objectives and ensure seamless integration.
- Implement monitoring frameworks to track model performance, detect anomalies, and ensure reliability in production.
- Automate pipelines for model retraining and fine-tuning to address data drift and maintain accuracy.
- Deploy highly scalable inference endpoints that handle concurrent requests efficiently while maintaining low latency.
- Ensure compliance with security standards, including encryption, access control, and API authentication.
- Develop well-documented APIs to enable seamless integration of GenAI capabilities into applications and external systems.
- Support API versioning and updates to meet evolving requirements.
- Work with vector and graph databases to enable efficient Retrieval-Augmented Generation (RAG) systems.
- Optimize data retrieval processes and evaluate RAG metrics, such as precision and relevance, to ensure high-quality results.

REQUIREMENTS

- Deep understanding of the full ML lifecycle, including development, training, deployment, and maintenance.
- Proficiency in tools like Weights & Biases (W&B) or MLflow to track and manage experiments.
- Strong Python programming skills, with expertise in ML libraries such as LangChain, LlamaIndex, PyTorch, TensorFlow, NumPy, SciPy, pandas, and scikit-learn.
- Experience designing APIs with industry best practices.
- Strong knowledge of large language models, including open-source and commercial implementations, and their practical applications.
- Basic experience in building or deploying AI agents for specialized tasks.
- Hands-on experience with vector and graph databases, including understanding metrics for evaluating RAG systems.
- Proficiency in cloud platforms, preferably Google Cloud Platform (GCP).
- Familiarity with Docker and containerization technologies.
- Proven ability to ensure that GenAI deployments are scalable, secure, and efficient.