We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. With our partners at John Deere, we have the ability to bring innovative computer vision, machine learning, robotics, and product management solutions to scale production, maximizing their potential impact.
Through cross-disciplinary collaboration, this mission-driven and daring team is eager to define the new frontier of mobile robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field and on-site to figure it out. Our mission is to bring the power of E2E machine learning and robotics to John Deere, revolutionizing how robotic systems are built. We aim to open up previously inaccessible opportunities, delivering autonomy products that customers love.
As an ML Engineer, you will help grow and shape our E2E stack. This involves shaping the design of the E2E training and inference pipeline, both on- and off-vehicle and on- and off-prem. You will also help with new models and features. You should be comfortable and excited about working with ambiguity, helping define what will move the program forward, working across traditional boundaries, and learning new things.
Employment Type: Full-Time
Santa Clara, CA (expect 3 days in the office)
Visa sponsorship is available for this position.
Design and implement end-to-end policies for complex navigation and manipulation tasks with long horizons.
Enhance policy robustness to challenges, including environmental variability, machine wear, and deployment across machine forms.
Drive the full data + modeling life cycle, from data collection requirements, experimental design, evaluation frameworks, model training, and deployment. Iteratively drive performance improvements.
Develop pretraining strategies leveraging multimodal data at scale. Edge deployment: help deliver performance with constrained compute.
Collaborate with infrastructure engineers on scalable data pipelines, including ingest, curation, and processing training artifacts.
Collaborate with infrastructure engineers on scalable distributed training pipelines.
Collaborate with reinforcement learning, robotics, and hardware engineers to integrate ML seamlessly into the full E2E autonomy stack.
Work with product management to learn from customers, including how they want to interface with the product. Translate this to ML architecture and implement.
Help shape the theory of operations and build the safety testing framework.
Proven track record in developing ML models. Expertise in designing and developing software for complex systems.
Comfortable working on new hardware systems and working on new ML/software problems.
Strong Python coding skills and proficiency with deep learning frameworks like PyTorch.
Excellent brainstorming, creative thinking, mathematical analysis, and communication skills.
Experience with robotics middleware such as ROS or other robotics-focused software packages.
We’ve got CS, CV/ML, EE, ME, etc.)
At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway.
We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The US annual base salary range for this position is $135,000 - $378,000, along with eligibility for Blue River’s bonus and benefit programs.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.
Through cross-disciplinary collaboration, this mission-driven and daring team is eager to define the new frontier of mobile robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field and on-site to figure it out. Our mission is to bring the power of E2E machine learning and robotics to John Deere, revolutionizing how robotic systems are built. We aim to open up previously inaccessible opportunities, delivering autonomy products that customers love.
As an ML Engineer, you will help grow and shape our E2E stack. This involves shaping the design of the E2E training and inference pipeline, both on- and off-vehicle and on- and off-prem. You will also help with new models and features. You should be comfortable and excited about working with ambiguity, helping define what will move the program forward, working across traditional boundaries, and learning new things.
Employment Type: Full-Time
Santa Clara, CA (expect 3 days in the office)
Visa sponsorship is available for this position.
Design and implement end-to-end policies for complex navigation and manipulation tasks with long horizons.
Enhance policy robustness to challenges, including environmental variability, machine wear, and deployment across machine forms.
Drive the full data + modeling life cycle, from data collection requirements, experimental design, evaluation frameworks, model training, and deployment. Iteratively drive performance improvements.
Develop pretraining strategies leveraging multimodal data at scale. Edge deployment: help deliver performance with constrained compute.
Collaborate with infrastructure engineers on scalable data pipelines, including ingest, curation, and processing training artifacts.
Collaborate with infrastructure engineers on scalable distributed training pipelines.
Collaborate with reinforcement learning, robotics, and hardware engineers to integrate ML seamlessly into the full E2E autonomy stack.
Work with product management to learn from customers, including how they want to interface with the product. Translate this to ML architecture and implement.
Help shape the theory of operations and build the safety testing framework.
Proven track record in developing ML models. Expertise in designing and developing software for complex systems.
Comfortable working on new hardware systems and working on new ML/software problems.
Strong Python coding skills and proficiency with deep learning frameworks like PyTorch.
Excellent brainstorming, creative thinking, mathematical analysis, and communication skills.
Experience with robotics middleware such as ROS or other robotics-focused software packages.
We’ve got CS, CV/ML, EE, ME, etc.)
At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway.
We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The US annual base salary range for this position is $135,000 - $378,000, along with eligibility for Blue River’s bonus and benefit programs.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.