Machine Learning AI Engineer 2

Job#: 2080130

Job Description:

Location Requirements: Hybrid in Redmond, WA - 3 days a week onsite. Flexible on days.

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, youll ensure that training systems are smoothly integrated and functioning, expanding the limits of AIs capabilities, especially in practical robotics scenarios. Additionally, you will investigate innovative methods to effectively utilize diverse datasets within our training framework.

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.

Typical task breakdown and operating rhythm: The role will consist of 15% meetings, typically starting at 8am PST but occasionally 7am PST if meeting with team members in Europ or China. Collaboration with the team on machine learning, view new models, try it on the robots, writing code, intrastation, note know to improve.

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: Bachelors degree in computer science or related filed is required to be eligible for this role.

Disqualifiers: N/A

Best vs. Average: The ideal resume would contain position as a masters degree student where they worked on robots, reinforcement learning, action models. If has a doctorate or partial doctorate is 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+ ROS/ROS2

2+ TensorFlow

2+ Any sort of machine learning packages.

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.

Responsibilities

Create and uphold efficient, scalable, and distributed training systems-including data preprocessing, training orchestration, and model assessment-for 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.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.