AI/ML Researcher (Remote)
Onboard · NAMER
- Hybrid
- Full-time
- $260,000 / year
- NAMER
Job highlights
- Advance AI model capabilities and alignment through research.
- Design, implement, and evaluate novel ML architectures.
- Publish findings and contribute to research roadmap.
- Transition research into production with engineering.
- Work remotely with flexible hours.
About the role
AI ML Researcher
Onboard is seeking a highly motivated AI/ML Researcher to join our remote team. This role is crucial for advancing the capabilities and alignment of our AI models. You will combine scientific inquiry with practical engineering to conduct experiments, publish your findings, and help define our research direction.
Key Responsibilities
- Design and execute experiments to enhance model capabilities and alignment.
- Implement, train, and evaluate innovative architectures and methodologies.
- Develop robust benchmarks and evaluation frameworks for AI models.
- Clearly document research findings through internal reports, papers, and presentations.
- Collaborate with engineering teams to integrate research advancements into production systems.
- Contribute significantly to the overall research roadmap and strategy.
Required Skills and Qualifications
- PhD in Computer Science, Machine Learning, or a related field, or equivalent industry research experience.
- Profound expertise in contemporary deep learning techniques, including transformers and large-scale training.
- Proficiency in PyTorch or similar deep learning frameworks.
- A proven track record of publications, contributions to open-source projects, or successfully shipped research initiatives.
- Exceptional written communication skills, with the ability to produce paper-quality technical documentation.
- Demonstrated curiosity and a strong drive to tackle complex, ambiguous challenges.
What You'll Bring
- A deep curiosity about model behavior and failure modes.
- A rigorous approach to following protocols and proactively identifying ambiguities.
- Excellent written communication for clear documentation of findings.
- Adaptability to asynchronous work across various time zones.
What We Offer
- A fully remote work environment with flexible working hours.
- A performance-based bonus structure.
- An annual stipend for learning and professional development.
- Comprehensive health and wellness benefits (may vary by location).
- The opportunity to contribute to high-impact, real-world AI projects.
Equal Opportunity Statement
Onboard is an equal opportunity employer. We welcome applications from all qualified individuals without regard to race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based strictly on qualifications, skills, and proven abilities.
Key skills/competency
- AI ML Researcher
- Deep Learning
- Transformers
- Large-Scale Training
- PyTorch
- Experiment Design
- Model Evaluation
- Technical Writing
- Research Roadmap
- Production Transition
Skills & topics
- AI
- ML
- Researcher
- Deep Learning
- Transformers
- PyTorch
- Machine Learning
- Research Scientist
- AI Research
- ML Engineer
How to get hired
- Tailor your resume: Highlight your PhD research, publications, and PyTorch experience.
- Showcase impact: Emphasize contributions to open-source or shipped research projects.
- Demonstrate curiosity: Prepare examples of tackling ambiguous problems in ML.
- Prepare for remote work: Discuss your experience with asynchronous collaboration.
- Research Onboard's mission: Understand their focus on model advancement and alignment.
Technical preparation
Master PyTorch and deep learning fundamentals.,Implement transformer architectures from scratch.,Design experiments for model evaluation.,Practice large-scale training techniques.
Behavioral questions
Describe a complex ML problem you solved.,How do you handle ambiguous research tasks?,Share an experience documenting technical findings.,Discuss collaborating across time zones.
Frequently asked questions
- What is the required education for the AI ML Researcher role at Onboard?
- The AI ML Researcher position at Onboard requires a PhD in Computer Science, Machine Learning, or a related field, or equivalent industry research experience. This ensures candidates have a strong theoretical foundation and practical research skills.
- What deep learning expertise is essential for this AI ML Researcher job?
- For the AI ML Researcher role at Onboard, deep expertise in modern deep learning is essential, specifically including transformers and large-scale training techniques. Proficiency with PyTorch or a similar framework is also a key requirement.
- How does Onboard support professional growth for AI ML Researchers?
- Onboard supports AI ML Researchers through an annual learning and development stipend, providing resources for continuous learning and skill enhancement. The role also offers opportunities to publish findings and shape the research agenda.
- What are the key responsibilities of an AI ML Researcher at Onboard?
- Key responsibilities for an AI ML Researcher at Onboard include designing and running experiments to advance model capabilities and alignment, implementing new architectures, developing evaluation frameworks, documenting findings, and collaborating with engineering on production transitions.
- Is the AI ML Researcher position at Onboard a remote role?
- Yes, the AI ML Researcher position at Onboard is a fully remote role, offering flexible working hours and the opportunity to collaborate across different time zones.
- What kind of communication skills are needed for the AI ML Researcher role?
- Excellent written communication skills are vital for the AI ML Researcher role at Onboard. This includes the ability to produce paper-quality technical writing for internal documentation and potential publications.
- What is the typical salary range for an AI ML Researcher at Onboard?
- Onboard offers a competitive salary for the AI ML Researcher role, with an indicative range of $140,000 to $260,000 USD equivalent, commensurate with experience, qualifications, and location, plus benefits and performance bonuses.