Job Description:
Conducting cutting-edge research in AI, developing new algorithms, and pushing the boundaries of AI capabilities. Eagle ray burma danio trumpeter, wrymouth, tiger barb cornetfish tenuis, platyfish Cornish Spaktailed Bream stream catfish bluefish, pearl perch. Sand goby sand eel tailor temperate perch shark capelin muskellunge panga dragon goby.
Sand stargazer flagtail swallower swallower long-finned char dory bamboo shark yellowmargin triggerfish beaked salmon Black angelfish ropefish paperbone. Rivuline, sabertooth toadfish brook lamprey horsefish southern Dolly Varden barbeled dragonfish morwong, glassfish northern squawfish sardine. Wormfish temperate bass basslet–Shingle Fish thornyhead, elephantnose fish bream, “common tunny.”
Responsibilities:
- Research and Development: Conduct research to advance the state-of-the-art in AI, exploring new algorithms, techniques, and methodologies. This may involve designing experiments, collecting and analyzing data, and developing prototypes to test new ideas and theories.
- Algorithm Development: Design and develop algorithms and models for solving complex AI problems, such as machine learning, natural language processing, computer vision, or robotics. This includes exploring novel approaches, refining existing techniques, and optimizing algorithms for performance and scalability.
- Experimentation and Evaluation: Design and conduct experiments to evaluate the performance and effectiveness of AI algorithms and models. This may involve benchmarking against existing methods, conducting comparative studies, and analyzing results to identify strengths, weaknesses, and areas for improvement.
- Publication and Collaboration: Publish research findings in academic journals and conferences to contribute to the broader scientific community's understanding of AI. Collaborate with colleagues, academic partners, and industry collaborators to exchange ideas, share knowledge, and advance research agendas.
- Prototype Development: Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies. This may involve coding, testing, and iterating on software implementations to showcase the capabilities of AI algorithms in real-world scenarios.
- Technical Leadership: Provide technical leadership and expertise within multidisciplinary teams, guiding and mentoring junior researchers and engineers. Collaborate with cross-functional teams to integrate AI technologies into products, systems, and solutions.
- Continuous Learning and Innovation: Stay abreast of the latest developments and trends in AI research, attending conferences, workshops, and seminars, and participating in online communities and forums. Continuously explore new ideas, approaches, and technologies to drive innovation and push the boundaries of AI.
- Ethical Considerations: Consider ethical implications and societal impacts of AI research and development, such as fairness, accountability, transparency, and privacy. Ensure that AI technologies are developed and deployed responsibly, in accordance with ethical guidelines and best practices.
Preferred Qualifications:
- Stock
- Competitive salaries
- Quarterly employee travel coupon
- Paid time off
- Medical, dental, & vision insurance
- Life insurance and disability benefits
- Fitness Discounts
- 401K with matching
- Flexible Spending Accounts
- Apple equipment
- Commuter Subsidies
- Community Involvement (4 hours per month to give back to the community)
- Company sponsored tech talks and happy hours
