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HP

Applied Research Engineer

AI in this role

Applied Research Engineer designing and implementing machine learning, NLP, and generative AI algorithms and systems.

python
ai-agentsml-opsnlpspeechmachine-learningnatural-language-processingdeep-learningmlopsgenerative-ai
Applied Research Engineer

Description -

Job Summary
This role is responsible for applying AI techniques such as machine learning and natural language processing to solve problems, develop systems and algorithms, and contribute to research and project work with limited supervision.
Responsibilities
• Solve difficult and sometimes complex problems using advanced AI technologies such as ML and NLP.
• Engage in experimental research to advance AI.
• Apply seasoned professional expertise to resolve a wide range of issues creatively.
• Analyze data and propose alternatives to existing solutions.
• Design and implement novel algorithms and AI solutions.
• Develop systems for complex tasks like language translation, sentiment analysis, and speech recognition.
• Execute algorithms for machine learning and predictive analytics.
• Document and share research processes and findings within the team.
• Manage projects and processes independently with limited supervision.
• Contribute with good judgment in selecting methods and techniques for obtaining solutions.
Education & Experience Recommended
• 2-4 year of experience
• Bachelor’s degree in engineering, computer science, information technology or a related field.
Preferred Certifications
• NA
Knowledge & Skills
• Programming Languages
• Python (Programming Language)
• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
• Data Engineering
• MLOps
• Cloud Platforms
• Algorithm Design
• Generative AI & LLMs
• AI Ethics
• Product Thinking
• Collaboration & Communication
• Analytical skills
• AI agents - agentic systems
• Statistical Modeling
• Critical Thinking.
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input.
Complexity
• Responds to routine issues within established guidelines.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

How we rate this

Applied Research Engineer at HP rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsML OpsNLPSpeechMachine learningNatural Language ProcessingDeep learningMLOps

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What have you built with speech recognition or text-to-speech, and where did it break?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, ML Ops, NLP, Speech, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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