Remote Jobs

Reddit logo

Staff Backend Engineer - Publisher Experience

Reddit

Location
United States of America
Posted
Salary Range
207k - 289k USD

Lead the Reddit Pro team as a Staff Engineer, driving technical strategy and building scalable systems while enjoying comprehensive benefits in a remote-friendly environment.

Canonical logo

Community Engineer

Canonical

Location
Cameroon
Posted

Support the Ubuntu community by facilitating technical projects, creating engaging content, and representing Canonical at events. Utilize your expertise in Linux and related technologies to foster collaboration and innovation within the open-source ecosystem.

Andela logo

Staff Engineer - Frontend

Andela

Location
United States of America
Posted

Staff Engineer - Frontend at Andela: drive technical excellence, establish frontend architecture standards, and mentor engineers in a fully remote work culture.

Reddit logo

Staff Frontend Engineer

Reddit

Location
Canada
Posted
Salary Range
217k - 289k USD

Staff Engineer (Tech Lead) for Reddit Pro team, leading cross-functional teams to deliver high-quality products and features.

Welocalize logo

Spanish Video Quality Specialist in Japan

Welocalize

Location
Japan
Posted

Spanish Video Quality Specialist needed in Japan for remote work, reviewing & troubleshooting video content for TV shows & movies.

Inworld AI logo

Staff Platform Engineer - USA

Inworld AI

Location
United States of America
Posted

Staff Platform Engineer at Inworld AI: Collaborate on cloud infrastructure & AI engine development

Red Canary logo

Associate Sales Engineer

Red Canary

Location
United States of America
Posted
Salary Range
88k - 109k USD

Join Red Canary as a Sales Engineer and help guide customers through their security journey with our innovative solutions. Use your technical expertise in networking, endpoint security, cloud infrastructure, and scripting to deliver impactful presentations and facilitate proof-of-concepts while collaborating with Account Executives.

Trafilea logo

QC Specialist - Cosmetics and Apparel Packaging

Trafilea

Location
China
Posted

Ensure quality and compliance of Trafilea's apparel and cosmetics packaging by conducting inspections, evaluating designs, collaborating with teams, maintaining records, developing procedures, and training staff. Join our dynamic team in a supportive, remote-friendly work environment.

10up logo

Staff Web Engineer

10up

Location
Anywhere in the world
Posted

Staff Web Engineer at 10up: lead large-scale enterprise projects, develop WordPress plugins & themes, collaborate with clients.

Awin Global logo

Retention & Growth Specialist (f/m/d)

Awin Global

Location
United Kingdom
Posted

Retention & Growth Specialist at Awin: lead customer retention and growth efforts, negotiate contracts, and collaborate with departments.

Wikimedia Foundation logo

Senior Movement Communications Specialist - Product & Tech

Wikimedia Foundation

Location
Anywhere in the world
Posted

Senior Movement Communications Specialist for the Wikimedia Foundation, crafting communications strategies and building trust between the Foundation and Wikimedia communities.

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.