Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: Staff Software Engineer, Machine Learning
Staff Software Engineer - Machine Learning - Calibration
Latitude AIUnited StatesLatitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less
Staff Software Engineer - Machine Learning
Capital One UKLondonWhite Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe’re on a mission to transform the way we use data and AI to service our customers
Staff Software Engineer, Machine Learning, Planner Selection
WaymoMountain ViewWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building
Software Engineer, Machine Learning
SynthesiaNew YorkAbout the role You will work end-to-end, contributing to our new Agentic AI Agents, and managing the safe release of your features to our customer base. This is a two-way communication within Synthesi
Staff Software Engineer, Machine Learning, Route and Pin Quality
WaymoMountain ViewWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building
Machine Learning Software Engineer II
Cambium Learning GroupUnited StatesCambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using
Senior Staff Machine Learning Engineer, (Machine Learning)
AffirmNew YorkRemote CanadaAffirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.Join the team a
Senior Software Engineer - Machine Learning - Multi-Object Tracking
Latitude AIUnited StatesSenior Software Engineer - Machine Learning - Multi-Object TrackingDearborn, Michigan, United States, Palo Alto, California, United States, Pittsburgh, PA, United States, Remote Latitude AI (lat.ai) i
Staff Machine Learning Engineer
Medallion LLCNew YorkAbout Medallion At Medallion, we believe healthcare teams should focus on what truly matters—delivering exceptional patient care. That’s why we’ve built a leading provider operations platform to elimi
Staff Machine Learning Engineer
WorkivaAmesJoin our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning
Staff Machine Learning Engineer
webAI IncUnited StatesAbout Us:webAI is the first end-to-end private AI platform. Enterprises and Governments use webAI to bring AI to their data, powering specialized intelligence trained on their own knowledge and compou
Staff Machine Learning Engineer
SpotifyNew YorkThe Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them
Staff Machine Learning Engineer (Remote)
SailPoint Technologies Holdings, Inc.United StatesAbout SailPoint:SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatche
Senior Staff Machine Learning Engineer
SpotifyUnited StatesThe Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that
Staff Machine Learning Engineer
HeadspaceUnited StatesAbout theStaff Machine Learning Engineerat Headspace:The AI & Machine Learning group at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clini
Staff Machine Learning Engineer
Automation AnywhereUnited StatesAbout Us:Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reason
Staff Machine Learning Engineer
PrizePicksUnited StatesAt PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, inc
Machine Learning Engineer
Halo MediaNew YorkHalo Media is a digital innovation agency and precision engineering partner. For over 20 years, we’ve blended visionary design with technical depth to build scalable digital products for global brands
Machine Learning Engineer
Hadrian AutomationLos AngelesJob Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships u
Machine Learning Engineer
Victor Noble AssociatesNew YorkOur client is looking for machine learning engineers to develop and implement machine learning models and algorithms to drive actionable insights and solutions. You will collaborate closely with cross
Machine Learning Engineer
Intellisoft TechnologiesUnited StatesRole: ML Engineer Location: Malvern, PA - hybrid onsite Duration: 6 monthsMust have Skills: ML models AWS SageMaker AWS servicesRequired qualifications:Responsibilities- Bachelors degree in a relevant
Machine Learning Engineer
LeidosBellbrookDescriptionAs a result of program growth, the Electronic Warfare Division is looking for a mid-level Machine Learning Engineer to support remote sensing programs in Beavercreek, OH. As a Machine Learn
Machine Learning Engineer
AquabyteUnited StatesAquabyte is seeking aMachine Learning Engineerto help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our
Staff Machine Learning Engineer - Policy & Safety
SpotifyUnited StatesSpotify Machine Learning EngineerWe design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel eff
Machine Learning Engineer
Saavor IncDallasMachine Learning Engineer (Computer Vision)Type: Full-time ( Remote / Hybrid) Team: AI / Machine LearningAbout the roleWe build computer vision systems that run in live production, where models have t
Staff Software Engineer - Machine Learning - Calibration
- United States
- United States
Über
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering -
all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Intelligent Systems organization is responsible for all components consuming sensor data, as well as offboard infrastructure required to enable such components. We seek a talented and technically sophisticated staff engineer/tech lead for our calibration group.
Building safe autonomous driving systems requires keeping a diverse sensor suite in calibration - that is, knowing where the sensors are with respect to the vehicle, and their properties such as lens geometry. We seek a talented lead for our calibration group, responsible for calibration both pre-customer and once the vehicle is in customer hands. The challenge is significant - these vehicles may be in customer hands for many years without maintenance. But the opportunity is also immense - the lead in this role will shape the vision for calibration across the company, work broadly with key players both within Latitude and in the broader Ford entity, and be key in designing these complex systems that help to keep the product functioning correctly.
What you'll do:
Design and develop novel calibration solutions that can work in a factory, or in unstructured, uncontrolled environments across a diverse range of sensors - camera, radar, lidar, IMU Design, evangelize, and help implement a set of calibration technology solutions that result in a vehicle platform that remains aware of its calibration state at all times, and remains in calibration as much as possible Work closely with senior leaders at Latitude and Ford to ensure that these solutions are deployed correctly and operate smoothly across the product development lifecycle and post-launch Mentor and coach strong engineers to develop their skills, both as contributors and as calibration experts What you'll need to succeed:
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience) Strong mathematical expertise around the calibration problem, including ability to rapidly come up to speed on the state of the art and to evaluate the robustness and quality of solutions Deep understanding of numerical linear algebra and optimization algorithms Strong C++ Coding skills for real time applications Experience with geometric computer vision, image, lidar or radar processing Extremely strong problem solving skills and algorithm design experience, particularly in the calibration domain Nice to have:
Experience calibrating devices or robots in a factory or manufacturing line environment Experience with production robots operating in an uncontrolled environment Experience with autonomous vehicles Masters or PhD in Computer Science What we offer you:
Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Pre-tax commuter benefits Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude's team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $218,240 - $327,360 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
#LI-CQ1
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.