Search for Staff Machine Learning Engineer roles in Seattle, focusing on roles that require expertise in deep learning, optimization techniques, and have a salary range of $223,000 to $248,000.

Okay, I've searched for Staff Machine Learning Engineer roles in Seattle, requiring expertise in deep learning and optimization techniques, with a salary range between $223,000 and$ 248,000. I found 25 positions that match your criteria.

Staff Machine Learning Engineer

Seattle, WA

deep learning

optimization

$223000+

$248000-

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Staff Machine Learning Engineer role within Uber's Delivery Marketplace is fundamentally about developing innovative, data-driven solutions that enhance the efficiency and overall quality of the delivery experience. This individual will be tasked with leading the design of machine learning algorithms that optimize real-time operations, including dispatch decisions and delivery time predictions, ultimately supporting Uber's strategic business objectives. To succeed, the candidate must navigate complex challenges and collaborate effectively with cross-functional teams, ensuring that both user satisfaction and operational efficiency are prioritized. Key responsibilities include mentoring junior engineers and influencing product development through technical leadership and stakeholder engagement, which indicates a significant degree of autonomy and the expectation to drive impactful change. The success metrics for this role likely revolve around the effectiveness of ML models in improving delivery performance and user engagement, as well as the ability to scale these solutions effectively within a fast-paced and dynamic environment.

Company Analysis:

Uber stands as a pioneering force in the on-demand economy, focusing on not just transportation but a wide array of delivery services that include everything from meals to essential goods. Their culture emphasizes relentless innovation, reflecting a mission-driven approach to improving movement accessibility and efficiency. This implies that employees are expected to embody a go-getter mentality, constantly seeking to enhance user experiences while tackling operational challenges head-on. Within the organizational structure, this role is critical as a lead within a team focused explicitly on advanced machine learning solutions, providing both visibility and significance in addressing strategic goals such as market positioning and user engagement. Since Uber continues to expand its marketplace capabilities, this position serves as a strategic hire aimed at solidifying the company's leadership in both existing and emerging delivery sectors, making it imperative for the candidate to align with the company’s innovative spirit and commitment to reimagination.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a technical project. What challenges did you face, and how did you overcome them?
Can you describe an instance where you improved a machine learning model's performance? What steps did you take?
We often juggle multiple projects here. How do you prioritize your work when faced with tight deadlines?
Explain a complex machine learning concept to someone who is not familiar with the technology. How do you ensure clarity?
How would you approach designing a machine learning solution to optimize delivery times for a new service?
What considerations would you take into account when developing reinforcement learning algorithms for real-time applications?
Describe your experience using frameworks like TensorFlow or PyTorch. How have these tools contributed to your past projects?
Given the challenge of balancing user experience with operational efficiency, what objective functions would you propose for your model?
Imagine you are faced with inconsistent delivery times impacting customer satisfaction. How would you use data to solve this?
Which recent trend in machine learning do you think could significantly impact Uber's delivery marketplace, and why?
What is it about Uber's mission and approach to innovation that resonates with you?
How do your values align with Uber's emphasis on safety and efficiency in service delivery?
What questions do you have about the team you'll be working with and their current projects?
How can I contribute to the team's culture of innovation and problem-solving?

Job Details

Overview Company

Staff Machine Learning Engineer

$223k/y-$248k/y

Uber

2 days ago

Highlight

OnsiteFull-time3+ yearsSenior

Summary

Uber is seeking a Staff Machine Learning Engineer - Delivery Marketplace to join their team in Seattle, WA. The role involves leading the development of optimization solutions using real-time and machine learning signals to enhance Uber's delivery operations.

About the Role

As a Staff Machine Learning Engineer, you will lead the design and development of machine learning solutions that optimize real-time operations across Uber's Delivery Marketplace. You will build advanced ML models using techniques such as reinforcement learning, deep learning, and optimization methods to improve efficiency and user experience. You will mentor a team of MLEs, collaborate with cross-functional teams, and solve complex problems using state-of-the-art forecasting and prediction models.

About You

Required:

PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in areas such as programming languages (e.g. C, C++, Java, Python, or Go), large-scale training using data structures and algorithms, modern machine learning algorithms, and experience with SQL and database systems.
Experience in the development, training, productionization and monitoring of ML solutions at scale.

Preferred:

Experience in a technical leadership role and mentoring junior engineers.
Experience in modern deep learning architectures and probabilistic models.
Experience in optimization (RL / Bayes / Bandits) and online learning.
Experience in causal inference/personalization/ranking.

Benefits

Base salary range of $223k–$248k depending on location.
Eligibility to participate in Uber's bonus program.
Potential equity awards and other types of compensation.
Various benefits as detailed on Uber's careers page.

Uber

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Seattle, WA