Generative Ai Engineer Jobs

Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)

Excellent collaboration and interpersonal skills

Great knowledge of common deep-learning frameworks

Experience in processing or curating large-scale datasets

Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics

Conduct original research in the space of generative AI

Online journalism experience and familiarity with the Nieman Journalism Lab are strongly preferred.

Candidates MUST meet the following basic qualifications in order to be considered for this role:

Full time. Monday through Friday. 35 hours per week. 100% remote.

The ability to work under deadlines, set priorities, and work collaboratively in a team environment.

This is a 3-year term position.

Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.

Adapt designs to various aspect ratios per requirements.

Exceptional collaboration skills and openness to feedback.

Utilize AI tools, for creating compelling audio drama banners.

Collaborate with the team for design refinement based on feedback.

Proficiency in AI-based graphic design tools

Proven ability to create engaging graphics.

Manage and maintain social media accounts, scheduling posts, responding to comments, and analyzing engagement metrics

Strong written and verbal communication skills

Data analysis skills with the ability to extract insights and make data-driven recommendations

Excellent organizational skills and attention to detail

Ability to manage multiple tasks and projects simultaneously

Strong teamwork and collaboration abilities

Experience working with the Vertex.AI platform, including knowledge of its features, functionalities, and API integration.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equivalent work experience will also be considered.

Proven experience as an AI Engineer or NLP Engineer, with a focus on developing AI models and working on NLP-related projects.

Strong expertise in AI prompt engineering, including experience with model fine-tuning, transfer learning, and data preprocessing for NLP tasks.

In-depth knowledge of NLP techniques, including text classification, entity recognition, sentiment analysis, and language generation.

Strong problem-solving skills and the ability to analyze complex data and algorithmic challenges.

2+ years program/project management experience

Build tracking tools to manage budget, timelines, workflow

Experience organizing and prioritizing multiple tasks while managing time effectively

Proven technical skills in Google suite (docs, sheets, etc)

Experience in creating and sustaining relationships with both technical and non-technical audiences

Collect, analyze, and report data to enable programs, collaborations, and partnerships

Good drawing skill within your specialization (characters, environments, etc.) without the use of neural networks;

Readiness to confirm experience in Stable Diffusion training in an interview or portfolio;

Excellent communication skills: you have to be able to express yourself clearly, both in written and oral forms;

Experience in developing mobile game projects.

Official employment in one of our locations or remotely under a contract;

Maintaining a work-life balance of employees: remote work and flexible hours, sports reimbursement, and health insurance payment;

Apply your fundamental knowledge of machine learning, generative AI, and other DS techniques to identify opportunities and help shape product development

Use Python and AWS SageMaker to create knowledge generation algorithms applied to pharmaceutical products

Degree at Masters level or better in a STEM field such as Maths, Physics, Computer Science, Engineering, or equivalent practical experience

Excellent statistical knowledge especially in relation to training dataset weaknesses and DS model scoring

Ability to work with stakeholders to manage your projects independently

Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake

Apply your fundamental knowledge of machine learning, generative AI, and other DS techniques to identify opportunities and help shape product development

Use Python and AWS SageMaker to create knowledge generation algorithms applied to pharmaceutical products

Degree at Masters level or better in a STEM field such as Maths, Physics, Computer Science, Engineering, or equivalent practical experience

Excellent statistical knowledge especially in relation to training dataset weaknesses and DS model scoring

Ability to work with stakeholders to manage your projects independently

Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake

Understanding of data engineering principles, including data extraction, transformation, and loading (ETL) processes, data integration, and data quality management.

Experience with data cleaning, preprocessing, and analysis

Strong problem-solving and critical thinking skills

Excellent written and verbal communication skills

Excellent interpersonal skills and the ability to collaborate across different groups and cultures.

Conduct research and analysis on large language models and generative AI techniques in the context of communications and business practices.

General content management such as scheduling, editing metadata, submitting content approvals

Developing a deep knowledge in prompts engineering for text prompts creation for generating assets

Have 3-5 years of relevant experience in visual and/or text based creative content creation.

Experience with emerging technologies such as Generative AI in an image generation context (e.g. prompt engineering or prompt design)

Knowledge in Photoshop will be highly appreciated

Experience with managing spreadsheets and creating formulas in Google programs

Strong data wrangling skills and proven experience working with large, complex datasets.

Experience deploying models, operationalizing models into business processes.

Advanced knowledge of machine learning models and techniques (regression, classification, decision trees, clustering, and neural networks, etc.)

Proven experience building and deploying ML models in Azure cloud.

Experience with AI technologies, particularly OpenAI and GPT.

Experience with LangChain, Hugging Face.

Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.

If a Master's Degree: Requires three (3) years of relevant experience

If a Bachelor's Degree: Requires five (5) years of experience

Requires prior experience with R, Python, or other analytics/data mining tools, databases, and computer programming.

Requires prior experience in developing complex solutions utilizing programming and/or software tools.

Requires prior experience in building and deploying predictive models and other analytic translational research.

5+ years of professional software development experience.

A passion for data and experience in applying that passion to high quality data products.

Extensive experience with entire software development cycle from design to deployment.

Strong knowledge of software engineering best practices, object oriented concepts, and the ins and outs of data-focused development.

Provide consultancy on how AI/ML can help with a team’s existing processes.

Conduct quantitative research and deliver insights related to NLP/Machine learning models.

Evaluate the quality and educational effectiveness of the content produced by our AI systems against defined quality bars, in structured datasets.

Troubleshoot and resolve issues related to AI-generated content to ensure a seamless learning experience for our students.

Experience with generative AI for producing content - you already understand the limitations, pitfalls, and best practices.

Basic coding skills (AP Computer Science A level is enough)

AI Prompt Engineer key responsibilities

Design, develop, and refine generative AI prompts for AP, SAT, and K-12 for a wide range of subjects.

Evaluate the quality and educational effectiveness of the content produced by our AI systems against defined quality bars, in structured datasets.

Troubleshoot and resolve issues related to AI-generated content to ensure a seamless learning experience for our students.

Experience with generative AI for producing content - you already understand the limitations, pitfalls, and best practices.

Basic coding skills (AP Computer Science A level is enough)

AI Prompt Engineer key responsibilities

Design, develop, and refine generative AI prompts for AP, SAT, and K-12 for a wide range of subjects.

Adapt designs to various aspect ratios per requirements.

Use AI image generation tools for creating compelling audio drama banners.

Collaborate with the team for design refinement based on feedback.