Machine Learning Engineer, Senior Staff - job 1 of 2

As a Senior Staff Machine Learning Engineer at d-Matrix, your primary responsibilities include inventing, designing, and implementing efficient algorithms for optimizing Large Language Model inference on specialized DNN Accelerators. You'll engage in advanced quantization algorithm development, support and enhance numerical libraries, and actively participate in designing next-generation chips aimed at multi-model training and inference. Your expertise will be vital in collaborating with a diverse team of mathematicians and ML researchers.

To qualify for the Senior Staff Machine Learning Engineer role at d-Matrix, candidates should possess an MSc or PhD in Computer Science, statistics, physics, or related STEM fields. Additionally, a minimum of 4 years of industrial coding experience and proficiency in object-oriented programming is required. Familiarity with Python is essential, and while experience with transformer architecture is beneficial, it is not mandatory.

At d-Matrix, the ideal Senior Staff Machine Learning Engineer is expected to exhibit strong skills in algorithm development, particularly for Large Language Models. A high level of motivation to innovate and collaborate with professionals across various disciplines is key. Additionally, an understanding of numerical methods and experience with Python programming are crucial for success in this role.

d-Matrix fosters a collaborative and inclusive work environment, emphasizing respect and open communication among team members. The company believes that a diversity of perspectives leads to more innovative solutions. Senior Staff Machine Learning Engineers will find an environment where challenges are met with enthusiasm and cooperation to drive transformative AI advancements.

Yes, d-Matrix is committed to an equal opportunity employment policy. The company actively seeks to create an inclusive workplace where all individuals, regardless of race, gender identity, or background, feel welcomed and empowered to contribute their best work. This commitment extends to the hiring process for the Senior Staff Machine Learning Engineer role and beyond.

When answering this question, provide specific examples of algorithms you've designed and implemented, particularly in the context of AI or machine learning. Discuss the challenges you faced and how your solutions impacted the projects or teams positively. Highlighting your ability to work collaboratively and share insights will also show your fit for d-Matrix's culture.

It's essential to include considerations such as computational efficiency, memory usage, and response time when optimizing LLM inference. Discuss any specific techniques you've used, such as quantization or pruning, and explain how they improved model performance. Relating these insights to d-Matrix’s work will demonstrate your industry knowledge.

Here, emphasize the importance of communication and inclusive problem-solving. Share experiences where you've successfully collaborated with professionals from varied backgrounds, highlighting how it led to innovative solutions. This aligns with d-Matrix’s values of respect and cooperation, reinforcing your fit for the role.

In your response, choose a project that showcases your analytical and creative problem-solving skills. Detail the specific hurdles you encountered and the strategies you employed to address them. Show how your leadership and collaboration with your team were crucial in overcoming these challenges, aligning with d-Matrix’s focus on dedication and teamwork.

While Python is critical for this role, mention any additional languages you're proficient in, such as C++ or R, along with relevant experiences. Describe specific libraries or frameworks you've utilized and how they contributed meaningfully to your projects. This will illustrate your technical competence for the Senior Staff Machine Learning Engineer position.

Discuss the various ways you keep abreast of advancements in the field, such as following leading journals, enrolling in online courses, or participating in industry conferences. Mention specific conferences or papers that influenced your work. This shows d-Matrix your commitment to expertise and lifelong learning.

Define quantization clearly and concise, explaining how it reduces the precision of the numbers used in AI models to decrease memory consumption and improve speeds. Provide examples of quantization techniques you've applied or learned about, ideally linking them to relevant experiences that would resonate with the work at d-Matrix.

Describe in your response how DNN Accelerators are designed to perform the extensive computations required for deep learning tasks efficiently. You might cite specific accelerator technologies and the advantages they bring to ML tasks, reinforcing the relevance to d-Matrix's focus area.

Talk about the importance of open dialogue and finding common ground in disagreements. Share your strategies for fostering constructive discussions and collaborative decision-making. This aligns with d-Matrix’s values of teamwork and respect, displaying your fit within their culture.

Discuss qualities such as adaptability, attention to detail, and a passion for continuous learning. Highlight how these attributes have played a role in your previous successes, which will demonstrate your readiness for the challenges that come with the Senior Staff Machine Learning Engineer position at d-Matrix.