Robotic Assistance Devices is seeking an AI Research Staff Engineer to lead applied AI and machine learning research that directly supports product and business outcomes. This role is suited for an experienced practitioner who can lead a team explore validate and deliver AI solutions in a fast-moving delivery-focused environment. The AI Research Staff Engineer bridges research and engineeringturning ideas experiments and models into solutions that can be deployed measured and improved in real-world systems.
Key Responsibilities
- Lead applied AI and machine learning research aligned with product and business needs.
- Design experiment with and evaluate models and approaches for real-world use cases.
- Drive research initiatives from problem definition through experimentation validation and handover to engineering.
- Work closely with product engineering and operations teams to ensure research outcomes are practical and usable.
- Translate research findings into clear recommendations prototypes or production-ready solutions.
- Balance exploration and delivery by managing research scope timelines and trade-offs.
- Contribute to improving AI research practices experimentation workflows and evaluation methods.
- Stay current with relevant advancements in AI and machine learning and assess their practical applicability.
Experience & Qualifications
- PhD or Research-based Masters degreein AI Machine Learning Computer Science Electrical/Electronic Engineering or a closely related field.
- 5 years of experience in AI machine learning or related engineering and research roles.
- Strong track record of delivering applied AI or ML solutions in business or product-focused environments.
- Hands-on experience with model development experimentation and evaluation.
- Demonstrated ability to align research efforts with product goals and measurable outcomes.
- Experience working in startup or fast-paced environments where research must lead to delivery.
- Strong problem-solving skills and ability to work with ambiguity.
- Clear communication skills especially in explaining research outcomes to non-research stakeholders.
Nice to Have
- Experience in computer vision or vision-based machine learning.
- Exposure to deploying or operationalizing ML models.
- Experience working with data from real-world systems (noisy incomplete evolving).
- Familiarity with cloud-based ML workflows and tooling.
What We Offer
- Opportunity to work on applied AI research with real-world impact.
- Collaboration with experienced engineers product teams and leadership.
- A role that values practical research delivery focus and ownership.
- Competitive compensation aligned with local market standards.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Robotic Assistance Devices is seeking an AI Research Staff Engineer to lead applied AI and machine learning research that directly supports product and business outcomes. This role is suited for an experienced practitioner who can lead a team explore validate and deliver AI solutions in a fast-movin...
Robotic Assistance Devices is seeking an AI Research Staff Engineer to lead applied AI and machine learning research that directly supports product and business outcomes. This role is suited for an experienced practitioner who can lead a team explore validate and deliver AI solutions in a fast-moving delivery-focused environment. The AI Research Staff Engineer bridges research and engineeringturning ideas experiments and models into solutions that can be deployed measured and improved in real-world systems.
Key Responsibilities
- Lead applied AI and machine learning research aligned with product and business needs.
- Design experiment with and evaluate models and approaches for real-world use cases.
- Drive research initiatives from problem definition through experimentation validation and handover to engineering.
- Work closely with product engineering and operations teams to ensure research outcomes are practical and usable.
- Translate research findings into clear recommendations prototypes or production-ready solutions.
- Balance exploration and delivery by managing research scope timelines and trade-offs.
- Contribute to improving AI research practices experimentation workflows and evaluation methods.
- Stay current with relevant advancements in AI and machine learning and assess their practical applicability.
Experience & Qualifications
- PhD or Research-based Masters degreein AI Machine Learning Computer Science Electrical/Electronic Engineering or a closely related field.
- 5 years of experience in AI machine learning or related engineering and research roles.
- Strong track record of delivering applied AI or ML solutions in business or product-focused environments.
- Hands-on experience with model development experimentation and evaluation.
- Demonstrated ability to align research efforts with product goals and measurable outcomes.
- Experience working in startup or fast-paced environments where research must lead to delivery.
- Strong problem-solving skills and ability to work with ambiguity.
- Clear communication skills especially in explaining research outcomes to non-research stakeholders.
Nice to Have
- Experience in computer vision or vision-based machine learning.
- Exposure to deploying or operationalizing ML models.
- Experience working with data from real-world systems (noisy incomplete evolving).
- Familiarity with cloud-based ML workflows and tooling.
What We Offer
- Opportunity to work on applied AI research with real-world impact.
- Collaboration with experienced engineers product teams and leadership.
- A role that values practical research delivery focus and ownership.
- Competitive compensation aligned with local market standards.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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