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AI/Machine Learning Engineer Job Opening In Mountain View California – Now Hiring US Tech Solutions, Inc.


Job description

About the Role

We are looking for an Evaluation Scientist who can work across both hands-on experimentation and automation infrastructure.

This role begins with running manual evaluations (e.g., executing and monitoring individual experiments) and progresses toward building scripts, tools, and infrastructure that streamline and automate these processes, with the long-term goal of reducing manual work as much as possible.

The ideal candidate will also bring expertise in coding agents and quality evaluation, enabling them to design robust experiments and improve workflows.

While the role will receive high-level guidance, candidates should be able to independently define and implement the lower-level details of experiment setup after ramping up.

For example, given a high-level requirement for a new type of evaluation, the candidate should be able to propose and execute an implementation plan with detailed steps, metrics, and automation in place.

Key Responsibilities

  • Run and manage manual evaluation experiments across AI/ML systems.

  • Develop and maintain automation infrastructure (scripts, pipelines, tools) to reduce manual evaluation work.

  • Design and execute new types of evaluations, translating broad research questions into structured experiment setups.

  • Work with coding agents and applied ML workflows to define and measure quality.

  • Define metrics, benchmarks, and evaluation criteria to assess performance and identify gaps.

  • Collaborate with research leads to align evaluation design with project goals while owning implementation details.

  • Ensure reproducibility, consistency, and scalability of evaluation processes.


Qualifications


  • Strong coding skills in Python (or equivalent) for scripting, automation, and experiment design.

  • Experience with running and analyzing experiments, including quality evaluation methodologies.

  • Knowledge of coding agents, ML models, or applied automation frameworks.

  • Ability to work independently: take high-level requirements and define detailed steps for execution.

  • 2–4 years of hands-on experience in evaluation, scripting, or applied data science/ML (academic or industry).

  • Strong analytical skills with experience in data handling, reporting, and experiment analysis.


Preferred Skills


  • Familiarity with evaluation frameworks and automation tools in AI/ML research.

  • Experience in building scalable infrastructure for experiments or evaluations.

  • Knowledge of experimental design, statistical testing, or quality benchmarking.



Required Skill Profession

Other General


  • Job Details

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Unlock Your AI Machine Potential: Insight & Career Growth Guide


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Are You Looking for AI/Machine Learning Engineer Job?

Great news! is currently hiring and seeking a AI/Machine Learning Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at US Tech Solutions, Inc. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for AI/Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Mountain View California. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI/Machine Learning Engineer?

Key qualifications for AI/Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI/Machine Learning Engineer Job Success

US Tech Solutions, Inc. interview tips for AI/Machine Learning Engineer

Here are some tips to help you prepare for and ace your AI/Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the US Tech Solutions, Inc.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI/Machine Learning Engineer interview at US Tech Solutions, Inc., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the US Tech Solutions, Inc.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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