AI Research Engineer (Applied AI)
WFA Digital Insight
The demand for AI and machine learning specialists has grown significantly, with a 25% increase in job postings over the past year. As businesses continue to invest in digital transformation, skilled AI Research Engineers are in high demand. Bright Vision Technologies stands out for its commitment to innovation and its focus on building scalable, secure, and user-friendly applications. With the rise of remote work, candidates can now contribute to cutting-edge projects from anywhere in the United States. Before applying, candidates should be prepared to demonstrate their technical expertise and showcase their experience in designing and shipping advanced machine learning systems.
Job Description
About the Role
As an AI Research Engineer at Bright Vision Technologies, you will be responsible for bridging the gap between cutting-edge applied research and production engineering. Your primary focus will be on designing and shipping advanced machine learning systems that solve high-impact business problems. This role requires a deep understanding of modern machine learning and deep learning techniques, as well as the ability to build robust, scalable, and well-instrumented production pipelines.The ideal candidate will have a strong background in AI research and development, with a proven track record of delivering innovative solutions. You will be working closely with cross-functional teams to identify business problems and develop AI-powered solutions that drive business value.
Bright Vision Technologies is committed to fostering a culture of innovation and collaboration. As a member of the team, you will have the opportunity to work with talented professionals who are passionate about AI and machine learning. The company offers a dynamic and supportive work environment that encourages experimentation, learning, and growth.
What You Will Do
- Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains
- Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies
- Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases
- Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology
- Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools
- Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources
- Optimize models for accuracy, latency, throughput, and cost based on production requirements
- Develop tooling for dataset construction, labeling, validation, and ongoing monitoring
- Work closely with cross-functional teams to identify business problems and develop AI-powered solutions
- Communicate complex technical concepts to non-technical stakeholders and provide recommendations for business decisions
What We Are Looking For
- 6+ years of experience in AI research and development, with a focus on machine learning and deep learning
- Strong background in computer science, mathematics, or a related field
- Experience with modern ML frameworks and orchestration tools, such as TensorFlow or PyTorch
- Strong understanding of software engineering principles and practices, including design patterns, testing, and continuous integration
- Experience with cloud-based infrastructure, such as AWS or Google Cloud
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with Agile development methodologies and version control systems, such as Git
- Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
Nice to Have
- Experience with large language models and natural language processing
- Knowledge of computer vision and image processing techniques
- Experience with recommendation systems and collaborative filtering
- Familiarity with containerization and orchestration tools, such as Kubernetes or Docker
- Experience with data visualization tools, such as Tableau or Power BI
Benefits and Perks
- Competitive base salary commensurate with experience
- Comprehensive benefits package, including health, dental, and vision insurance
- 401(k) matching program
- Flexible paid time off policy, with a minimum of 15 days per year
- Remote work stipend, to support your home office setup and productivity
- Opportunities for professional development and growth, including conference attendance and training programs
- Access to cutting-edge technologies and tools, to help you stay up-to-date with the latest advancements in AI and machine learning
How to Stand Out
- Make sure to highlight your experience with modern ML frameworks and orchestration tools, such as TensorFlow or PyTorch, in your resume and cover letter.
- Be prepared to provide specific examples of your experience with machine learning and deep learning, including any projects or research you have worked on.
- Showcase your ability to communicate complex technical concepts to non-technical stakeholders, through clear and concise writing and presentation skills.
- Consider including a link to your GitHub profile or other online portfolio, to demonstrate your coding skills and experience with open-source projects.
- Be prepared to discuss your experience with Agile development methodologies and version control systems, such as Git, and how you have applied these principles in your previous work.
- Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
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