Artificial Intelligence Engineer

Spektrum Recruiting; Redwood City (CA); On-site; USD 180,000 - 210,000; Full time

Job summary

Join a dynamic start-up as a Founding Staff AI/ML Engineer, where you'll play a crucial role in shaping the future of machine learning systems. This position offers the unique opportunity to design, build, and deploy scalable ML solutions while collaborating closely with the founding team. With a focus on innovation and ownership, you'll influence product direction and technical architecture, making a significant impact on the company's trajectory. If you're passionate about building from the ground up and eager to contribute to a category-defining company, this role is perfect for you.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 8+ years of experience in AI, ML, and Software Engineering.
• Deep experience with ML/DL frameworks and LLMs.
• Strong software engineering skills in Python and APIs.

Responsibilities

• Design and deploy scalable ML systems for core products.
• Collaborate with teams to translate business goals into ML solutions.
• Build and scale MLOps infrastructure and mentor future hires.

Skills

Artificial Intelligence

Machine Learning

Software Engineering

Python

APIs

Cloud Infrastructure

Containerization

Statistical Modeling

Data Processing

Startup Mindset

Education

Degree in Computer Science

Degree in Machine Learning

Degree in Mathematics

Tools

PyTorch

TensorFlow

JAX

Airflow

MLflow

SageMaker

Vertex AI

Job description

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This range is provided by Spektrum Recruiting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $210,000.00/yr

Direct message the job poster from Spektrum Recruiting

Technical Talent Advisor @ Spektrum Recruiting | Start-up Consulting

We’re partnering with a well-funded, seed-stage startup to help build their early engineering team. They’re hiring two AI Engineers and are open to candidates at the Senior, Staff, or Principal level.

If you're excited about building from the ground up and think you’re a great fit, we’d love to hear from you. Check out the job description below to learn more.

As our Founding Staff AI/ML Engineer, you’ll be one of the first technical hires and play a key role in building our core machine learning systems from the ground up. You’ll own the entire lifecycle; from prototyping models to deploying production-grade systems while working closely with the founding team to influence product direction and technical architecture.

This is a rare opportunity to have deep impact, massive ownership, and the chance to shape the culture, systems, and trajectory of a category-defining company.

What You’ll Do

1. Design, build, and deploy scalable ML systems that power our core product.
2. Own end-to-end development: problem formulation, data pipelines, model training, evaluation, and production deployment.
3. Collaborate with product and engineering to translate business goals into ML solutions.
4. Evaluate and apply state-of-the-art techniques in LLMs, deep learning, classical ML, and generative AI.
5. Establish best practices for model reproducibility, monitoring, and performance tracking.
6. Build and scale our MLOps infrastructure (training pipelines, experiment tracking, deployment tooling).
7. Recruit and mentor future ML/AI hires and help grow the team and culture.

Qualifications:

• 8+ years of experience in Artificial Intelligence, Machine Learning and Software Engineering.
• Strong foundation in ML/DL algorithms, statistical modeling, and data processing.
• Deep experience with modern ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
• Hands-on experience with LLMs, transformers, or other foundation models.
• Proven experience building and deploying production-grade ML systems.
• Strong software engineering skills (Python, APIs, cloud infra, containerization).
• Familiarity with ML pipelines and platforms (e.g., Airflow, MLflow, SageMaker, Vertex AI).
• Startup mindset: ownership, bias for action, comfort with ambiguity, and a builder mentality.
• Degree in Computer Science, Machine Learning, Mathematics, or related field. (PhD or MS preferred but not required with equivalent experience.)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Media, and Software Development

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Inferred from the description for this job

• Medical insurance
• Vision insurance
• 401(k)

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