Remote Jobs

Gusto, Inc. logo

Staff Software Engineer

Gusto, Inc.

Location
Canada
Posted

Join Gusto as a Software Engineer and shape the future of customer-facing products with scalable solutions.

Staff Software Engineer

Coursera

Location
Canada
Posted
Salary Range
178k - 204k USD

Backend Staff Engineer on Coursera's Learner Success team, developing personalized learning experiences using generative AI and rich learner data.

Shippo logo

Staff Software Engineer

Shippo

Location
Brazil
Posted
Salary Range
150k - 250k USD

Lead the development of billing, authentication, and fraud prevention systems at Shippo. Mentor engineers, set high standards, and collaborate on new products and capabilities.

Staff Software Engineer

Check

Location
United States of America
Posted
Salary Range
186k - 234k USD

Join Check as a Staff Engineer to work with cutting-edge technologies, contribute to impactful projects, and enjoy excellent benefits including health insurance, stock options, flexible PTO, and stipends for remote work.

WatchGuard Technologies, Inc. logo

Staff Software Engineer

WatchGuard Technologies, Inc.

Location
Brazil
Posted

Lead client application development at WatchGuard as a Staff Software Engineer, utilizing your expertise in C#, .NET, WPF, and Windows Services to deliver robust solutions while mentoring team members and fostering innovation.

Eventbrite, Inc. logo

Staff Software Engineer

Eventbrite, Inc.

Location
India
Posted

Join Eventbrite's team as a Staff Software Engineer and work on building impactful computer vision features using tools by Roboflow. Collaborate with a talented team and create innovative AI solutions that make the world programmable.

Vonage logo

Staff Software Engineer

Vonage

Location
Poland
Posted

Develop scalable real-time platform using Kotlin, AWS, Kafka & more, mentor junior engineers & drive innovation at Vonage.

Vonage logo

Staff Software Engineer

Vonage

Location
Spain
Posted

Real-time platform development for Network-based APIs using Kotlin, AWS, Kafka, Redis, and DynamoDb

Smartcar logo

Staff Software Engineer

Smartcar

Location
United States of America
Posted
Salary Range
180k - 225k USD

Staff Software Engineer at Smartcar: Lead OEM integrations for vehicle manufacturers, develop high-performance APIs, and drive technical excellence.

MissionWired logo

Resume Pool: Salesforce Marketing Cloud Specialist

MissionWired

Location
United States of America
Posted

Marketing Cloud Specialist at MissionWired: Design scalable Salesforce solutions, collaborate with stakeholders, and drive digital user journeys that raise awareness and bring about change.

Gradient AI logo

Staff Security Engineer

Gradient AI

Location
United States of America
Posted

Staff Security Engineer at Gradient AI: Manage overall security posture, lead risk assessments, cloud security, and implement best practices.

1Password logo

Staff Data Engineer

1Password

Location
Canada
Posted
Salary Range
158k - 239k USD

Staff Data Engineer at 1Password: lead data pipeline development, optimize query performance, and build scalable services on public cloud infrastructure.

brightwheel logo

Staff Data Engineer

brightwheel

Location
Brazil
Posted

Staff Data Engineer at Brightwheel: Build scalable web scraping platforms, deliver best-in-class infrastructure solutions, and drive business insights with millions of records.

ElevenLabs logo

Website Engineer

ElevenLabs

Location
Poland
Posted

Design intuitive marketing pages for voice technology company ElevenLabs, collaborate with global teams, and drive engagement and conversions.

Branch logo

Analytics Engineer

Branch

Location
United States of America
Posted

Join Branch as a data model developer and contribute to empowering workers with financial freedom through accessible and free financial services.

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.