Job Description

As a Junior Software Engineering Intern you focus on AI and NLP to join our team. The ideal candidate will be passionate about AI and have hands-on experience in implementing NLP models using Python and PyTorch. This position will contribute to the development of advanced NLP applications, including but not limited to word sense disambiguation, text classification, sentiment analysis, POS tagging, tokenization, syntactic parsing, and web crawling.

- Conduct an in-depth literature review to identify and gather pertinent research papers concerning the construction of a Dialogue System integrating LLM (Language Model), Passage Retrieval, and STS (Semantic Textual Similarity).

- Develop an inference process for generating answers, with a particular emphasis on verifying the output produced by the Language Model (LLM) to ensure accuracy and relevance within the context of the Dialogue System development.

- Initiate fine-tuning strategies on optimizing the LLM performance through methodologies such as PEFT+QLoRA and quantization using AutoGPTQ. The objective is to augment the responsiveness and overall efficiency of the Dialogue System.

- Implement Retrieval-Augmented Generation (RAG) within the Dialogue System, leveraging sophisticated techniques to elevate response dynamics and optimize system performance.

Qualifications

Be ALICE:

• Adaptability: Ability to navigate and lead in a rapidly evolving tech environment.
• Leadership: Proven experience in leading technical teams with a focus on mentorship and growth.
• Impact: A strong customer-centric approach, aiming to deliver impactful solutions.
• Commitment: Demonstrated commitment to achieving excellence in software development.
• Empathy: Capacity to understand and address the needs of both the team and the clients, while balancing technological and human factors.

Key Responsibilities:

• Support Development of AI Models: Assist in the development and implementation of artificial intelligence models, focusing on areas such as natural language processing (NLP), machine learning, and deep learning. Utilize programming languages such as Python and frameworks like PyTorch or TensorFlow to build and test models. Showcase great hands-on experience with LangChain.

• Literature Review and Research: Conduct comprehensive literature reviews to stay updated with the latest advancements in AI and machine learning. Gather and analyze academic papers and industry reports to support the team's research and development efforts.

• Data Preparation and Analysis: Work closely with senior engineers to prepare datasets for training and testing AI models. This includes data cleaning, preprocessing, and augmentation to ensure the quality and efficiency of the models.

• Experimentation and Testing: Participate in the design and execution of experiments to test various hypotheses and improve model performance. Document results and provide insights on potential improvements.

• Contribute to AI Projects: Take part in ongoing AI projects under the guidance of senior engineers. This may involve coding, debugging, and contributing ideas to enhance project outcomes.

• Learn and Apply AI Techniques: Gain hands-on experience with advanced AI methodologies, such as fine-tuning language models, implementing retrieval-augmented generation, and exploring model optimization techniques like quantization.

• Collaboration and Feedback: Collaborate with cross-functional teams, including product development, data science, and engineering, to integrate AI solutions into products and services. Participate in regular meetings and code reviews, providing and receiving feedback constructively.

• Documentation and Reporting: Assist in the creation of documentation for AI models and systems developed, including code documentation, model architecture descriptions, and performance reports.

• Professional Development: Engage in learning opportunities within the company and the broader AI community to continuously develop professional skills. Attend workshops, webinars, and conferences as recommended by the team.

• Adhere to Best Practices: Follow best practices in AI ethics, data privacy, and model transparency. Ensure that all work is in compliance with company policies and industry standards.

See more jobs at top.legal

Apply for this job

Job Description

As a Junior Software Engineering Intern you focus on AI and NLP to join our team. The ideal candidate will be passionate about AI and have hands-on experience in implementing NLP models using Python and PyTorch. This position will contribute to the development of advanced NLP applications, including but not limited to word sense disambiguation, text classification, sentiment analysis, POS tagging, tokenization, syntactic parsing, and web crawling.

- Conduct an in-depth literature review to identify and gather pertinent research papers concerning the construction of a Dialogue System integrating LLM (Language Model), Passage Retrieval, and STS (Semantic Textual Similarity).

- Develop an inference process for generating answers, with a particular emphasis on verifying the output produced by the Language Model (LLM) to ensure accuracy and relevance within the context of the Dialogue System development.

- Initiate fine-tuning strategies on optimizing the LLM performance through methodologies such as PEFT+QLoRA and quantization using AutoGPTQ. The objective is to augment the responsiveness and overall efficiency of the Dialogue System.

- Implement Retrieval-Augmented Generation (RAG) within the Dialogue System, leveraging sophisticated techniques to elevate response dynamics and optimize system performance.

Qualifications

Be ALICE:

• Adaptability: Ability to navigate and lead in a rapidly evolving tech environment.
• Leadership: Proven experience in leading technical teams with a focus on mentorship and growth.
• Impact: A strong customer-centric approach, aiming to deliver impactful solutions.
• Commitment: Demonstrated commitment to achieving excellence in software development.
• Empathy: Capacity to understand and address the needs of both the team and the clients, while balancing technological and human factors.

Key Responsibilities:

• Support Development of AI Models: Assist in the development and implementation of artificial intelligence models, focusing on areas such as natural language processing (NLP), machine learning, and deep learning. Utilize programming languages such as Python and frameworks like PyTorch or TensorFlow to build and test models. Showcase great hands-on experience with LangChain.

• Literature Review and Research: Conduct comprehensive literature reviews to stay updated with the latest advancements in AI and machine learning. Gather and analyze academic papers and industry reports to support the team's research and development efforts.

• Data Preparation and Analysis: Work closely with senior engineers to prepare datasets for training and testing AI models. This includes data cleaning, preprocessing, and augmentation to ensure the quality and efficiency of the models.

• Experimentation and Testing: Participate in the design and execution of experiments to test various hypotheses and improve model performance. Document results and provide insights on potential improvements.

• Contribute to AI Projects: Take part in ongoing AI projects under the guidance of senior engineers. This may involve coding, debugging, and contributing ideas to enhance project outcomes.

• Learn and Apply AI Techniques: Gain hands-on experience with advanced AI methodologies, such as fine-tuning language models, implementing retrieval-augmented generation, and exploring model optimization techniques like quantization.

• Collaboration and Feedback: Collaborate with cross-functional teams, including product development, data science, and engineering, to integrate AI solutions into products and services. Participate in regular meetings and code reviews, providing and receiving feedback constructively.

• Documentation and Reporting: Assist in the creation of documentation for AI models and systems developed, including code documentation, model architecture descriptions, and performance reports.

• Professional Development: Engage in learning opportunities within the company and the broader AI community to continuously develop professional skills. Attend workshops, webinars, and conferences as recommended by the team.

• Adhere to Best Practices: Follow best practices in AI ethics, data privacy, and model transparency. Ensure that all work is in compliance with company policies and industry standards.

See more jobs at top.legal

Apply for this job

Job Description

As a senior frontend engineer you help to develop a state-of-the-art B2B SaaS product in an agile remote product & engineering team.

• Cross-functional collaboration: Lead the engineering side of a product development process in which there is close collaboration with product and design teams. 

• Test-driven development: Ensure component-based and test-driven development and own direct feedback to clients about fixed bugs.

• Team enablement: Develop systematic code standards and documentation that ensures quick onboarding of new engineers.

• Scalability: Develop architectural blueprints and data structures that ensure high code-quality and fast product evolution.

• Excellent communication: You excel at working remotely (proactive, reliable through commitment, driven by empathy, be fun and stay human).

Qualifications

Requiredhard skills or willingness to learn:

• React (5 years) 

• Typescript and jest

• Graphql 

• Serverless, Node.js 

• Storybook & Chromatic

• Clean Code mentality

Required soft skills:

• You are part of a customer-driven, sprint-based product development process and break down complex tasks into deliverable output (feasibility assessment, shippable feature etc.

• Likable, positive and can-do attitude that enables others through collaboration, reliability, mentorship and human sensitivity.

• Strong sense of commitment and ownership with a focus on customer-value.

• Profound analytical rigor and ability to communicate in a clear and structured manner 

• Curiosity

See more jobs at top.legal

Apply for this job