AI Engineer

1 week ago

Redmond, United States Actalent Full time

Location: HYBRID - Must be local to Redmond, WA. On site 3x a week.

Daily Schedule: 40 hours a week, Mon Fri, Standard Core Business hours (some days starting at 7am PST due to meeting with team members in Europ and China), NO OT.

Pay: $70-$90 Hourly.

Typical Day in the Role

Purpose of the Team: The purpose of this team is AI research team. Teach robots to do new skills. Software and hardware engineers integrate.

Key projects: This role will contribute to supporting the researchers so they can do their job.

Compelling Story & Candidate Value Proposition

What makes this role interesting? - This role provides the opportunity to work with different robot companies, state of the art machines, top researchers, help develop machine code language models.

Unique Selling Points: Working robots to do things like folding laundry, assembling engines.

Candidate Requirements

Years of Experience Required: 2-5 (or 5+ if possible) overall years of experience in the field.

Degrees or Certifications Required: Bachelor's degree in computer science or related field is required to be eligible for this role.

Best vs. Average: The ideal resume would contain position as a master's degree student where they worked on robots, reinforcement learning, action models. If candidate has a doctorate or partial doctorate that would be a plus.

Performance Indicators: Performance will be assessed based on meeting deadlines and quality of work.

Top 3 Hard Skills Required + Years of Experience

1. Minimum 2+ years experience with Linux

2. Minimum 2+years experience with Python

3. Minimum 2+years experience with Configuration management.

In addition:

2+ years experience with ROS/ROS2

2+ years experience with TensorFlow

2+ years experience Any sort of machine learning packages.

Summary

The primary consideration for this position is a preference for candidates with experience in robotics or reinforcement learning, rather than those specializing in natural language models or computer vision.

Our team seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models. Your role will be centered on creating strong, scalable, and efficient training infrastructures and frameworks facilitating the full spectrum of the machine learning process, from handling data to deploying models. In collaboration with researchers and software engineers, you'll ensure that training systems are smoothly integrated and functioning, expanding the limits of AI's capabilities, especially in practical robotics scenarios. Additionally, you will investigate innovative methods to effectively utilize diverse datasets within our training framework.

Responsibilities

Create and uphold efficient, scalable, and distributed training systemsincluding data preprocessing, training orchestration, and model assessmentfor training large-scale AI models.

Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability.

Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms.

Develop and design benchmarks for evaluating ML models.

Perform training and and fine-tuning of foundation models for robotic applications .

Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance.

Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.

Preferred Qualifications

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.

Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.

Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.

Deep understanding of state-of-the-art machine learning techniques and models.

Experience with cloud-based training environments (AWS, Google Cloud, Azure).

Experience in developing and maintaining software tooling and infrastructure for machine learning.

Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.

Experience with continuous integration and automated testing frameworks.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

Diversity, Equity & Inclusion

At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

+ Hiring diverse talent

+ Maintaining an inclusive environment through persistent self-reflection

+ Building a culture of care, engagement, and recognition with clear outcomes

+ Ensuring growth opportunities for our people

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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