Staff Software Engineer, Machine Learning
3 weeks ago
About the TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.About the RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).You’re excited about this opportunity because you will...Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail spacePartner with engineering and product leaders to help shape the product roadmap applying MLMentor junior team members, and lead cross functional pods to create collective impactYou can find out more on our ML blog hereWe’re excited about you because you have...8+ years of industry experiencedeveloping machine learning models with business impact, and shipping ML solutions to production.Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs are a plusMachine learning background in Python; experience with PyTorch or TensorFlow preferred.Familiarity with Kotlin/ScalaAbility to communicate technical details to nontechnical stakeholdersM.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldsYou keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downDesire for impact with a growth-minded and collaborative mindsetAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.In addition to base salary, the compensation package for this role also includes opportunities for equity grants.We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023.Please see the independent bias audit report covering our use of Covey here.California Pay Range:$201,900—$302,900 USD
-
Software Engineer, Machine Learning
1 day ago
San Francisco, CA, United States 1st. Creative Learning Academy Inc. Full timeMotive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity....
-
Staff Machine Learning Engineer
1 day ago
San Francisco, CA, United States Nextdoor Full time#TeamNextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with...
-
Staff Machine Learning Engineer
1 day ago
San Francisco, CA, United States Wayve Full timeEstablished in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making...
-
Machine Learning Engineer
1 month ago
San Francisco, CA, United States Triunity Software, Inc. Full timeJD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale. Responsibilities: Design and develop...
-
Software Engineer, Machine Learning
6 days ago
South San Francisco, United States Genentech Full timeMaster's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Recent graduates are encouraged to apply. Strong understanding of fundamental machine learning concepts, including large language models Software Engineer, Machine Learning, Software, Engineer, Technology
-
Senior Staff Software Engineer
1 day ago
San Francisco, CA, United States Warner Media, LLC Full timeWelcome to Warner Bros. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities,...
-
Software Engineer, Machine Learning
1 day ago
San Francisco, CA, United States Twelve Labs Full timeWho we are We’re a fast-moving, diverse team pushing the frontiers of artificial intelligence. At Twelve Labs, our mission is to help developers build programs that can see, listen, and understand the world as we do by bringing the world’s most powerful video understanding infrastructure to market. As a part of achieving this mission, we are building...
-
Senior Software Engineer
1 day ago
San Francisco, CA, United States Fathom Full timeFathom is on a mission to use AI to understand and structure the world's medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world's largest health systems. Our deep learning engine automates the translation of patient records into the billing codes used for healthcare...
-
San Francisco, CA, United States Discord Full timeDiscord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that...
-
Senior Machine Learning Software Engineer
1 month ago
San Francisco, California, United States Dropbox Full timeRole DescriptionDropbox is looking for a Machine Learning Engineer to join our User Understanding team. User Understanding team's mission is "to personalize users' journey through Dropbox products and features". The team develops models, systems and features that leverage the massive scale of Dropbox's user base to understand and predict user behavior to...
-
Machine Learning Engineer
1 day ago
San Francisco, CA, United States Equilibrium Energy Full timeAbout Our Company Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the...
-
San Francisco, CA, United States Aurora Innovation Full timeAurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Staff Machine Learning Engineer, Perception. In this role, you will Collaborate with...
-
San Francisco, CA, United States Theorem LP Full time[Full Time] Sr. Software Engineer, Machine Learning Infrastructure at Theorem LP (United States) | BEAMSTART Jobs Sr. Software Engineer, Machine Learning Infrastructure Theorem LP United States Date Posted 31 Oct, 2022 Work Location San Francisco, United States Salary Offered Not Specified Job Type Full Time Experience Required 3+ years ...
-
Machine Learning Engineer
2 months ago
San Francisco, CA, United States Chalk Full timeAbout the role Reporting to the CTO, you are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems....
-
Machine Learning Engineer
1 month ago
San Francisco, CA, United States Chalk Full timeAbout the role Reporting to the CTO, you are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk's proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation...
-
Software Engineer
1 day ago
San Francisco, CA, United States Unusual Ventures Full timeAt Connectly we are building a revolutionary e-commerce experience on WhatsApp. Unlike traditional shopping experiences where you have to download an app, or sign up on a website, we allow customers to engage and transact directly within the thread. By choosing Connectly you will join a VC-backed series A startup, work with our world-class team, and ...
-
Software Engineer
1 day ago
San Francisco, CA, United States Unusual Full timeAt Connectly we are building a revolutionary e-commerce experience on WhatsApp. Unlike traditional shopping experiences where you have to download an app, or sign up on a website, we allow customers to engage and transact directly within the thread. By choosing Connectly you will join a VC-backed series A startup, work with our world-class team, and ...
-
Software Engineer, Machine Learning
4 days ago
San Francisco, United States Twelve Labs Full timeWho we are We’re a fast-moving, diverse team pushing the frontiers of artificial intelligence. At Twelve Labs, our mission is to help developers build programs that can see, listen, and understand the world as we do by bringing the world’s most powerful video understanding infrastructure to market. As a part of achieving this mission, we are building...
-
Machine Learning Engineer
1 day ago
San Francisco, CA, United States Replicate, Inc. Full timeYou’re a machine learning engineer who is an expert at productionizing and optimizing models. We have a huge library of community-contributed machine learning models. You’ll maintain some of the most popular ones so they’re fast and reliable. It’ll involve implementing open-source models, optimizing them, and doing general maintenance on them....
-
Software Engineer
1 day ago
San Francisco, CA, United States Niantic Full timeNiantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale models....
