Designs, trains, evaluates, and deploys advanced machine learning systems from research prototypes to scalable production pipelines. Responsibilities include deep learning experimentation, model fine-tuning, distributed and mixed-precision training, production observability, safeguards, research evaluation, and continuous improvement. The role also explores large language models, retrieval-augmented generation, agentic systems, multimodal architectures, and responsible AI practices while delivering impactful applied AI solutions.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Innovation Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$210,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Required Qualifications
Preferred Qualifications
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Innovation Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$210,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Required Qualifications
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience.
- Six or more years of combined research and applied ML engineering experience.
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale.
- Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML.
- Experience taking ML models from research prototype to production with appropriate observability and safeguards.
- Familiarity with distributed training, mixed-precision training, and accelerator hardware.
- Strong written and verbal communication skills, including ability to explain complex methods clearly.
- Demonstrated ability to read, evaluate, and adapt techniques from current research literature.
- Track record of shipping impactful applied AI projects.
Preferred Qualifications
- Published research at top-tier AI/ML venues.
- Experience with large language model training, fine-tuning, or evaluation.
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
- Exposure to responsible AI, model evaluation, and alignment practices.
- Experience contributing to open-source ML projects.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
Similar Jobs
Insurance • Software • Automation
Lead a lean Innovation Office to design, build, and ship AI/LLM-powered MVPs that solve real insurance distribution problems. Hands-on role: write and deploy prototypes, integrate data science outputs, run discovery with agents, measure business impact, and hand off validated winners. Manage two data scientists and direct contract engineers while partnering with business leadership to prioritize and evaluate opportunities.
Top Skills:
ClaudeCodexCopilotCursorGitLlmsSQL
48 Seconds Ago
Easy Apply
Easy Apply
Cloud • Information Technology • Security • Software
Leads JumpCloud’s global post-sale organization of 100+ across Customer Success, Technical Support, Professional Services, and Account Management. Owns retention, NRR, NPS, CSAT, onboarding, expansion, operational scaling, and AI-first automation. Partners with Product and Engineering to convert customer feedback into roadmap improvements, manages five direct reports, and presents metrics to executive leadership and the board. Requires significant SaaS leadership experience across SMB, Commercial, and Enterprise segments, global team management, analytical rigor, and approximately 30% domestic and international travel.
Top Skills:
Artificial Intelligence (Ai)Machine LearningSaaS
Manufacturing
Own a U.S. territory focused on growing multifamily business for Fortune Brands Outdoors products. Develop regional market strategies, build relationships with developers, architects, purchasing leaders, and asset managers, and drive product specifications and revenue. Partner with dealers, distributors, and internal teams to execute projects from specification through close. Manage complex stakeholder relationships independently, contribute to national contract strategies, and travel up to 50%, including approximately two overnight trips monthly.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
