Jobright.ai
Machine Learning Engineer, Forecast Platform, Mid-Level
Jobright.ai, Seattle, Washington, us, 98127
Machine Learning Engineer, Forecast Platform, Mid-Level Join to apply for the
Machine Learning Engineer, Forecast Platform, Mid-Level
role at
Jobright.ai
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Machine Learning Engineer, Forecast Platform, Mid-Level 3 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, Forecast Platform, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. DoorDash is a technology and logistics company focused on empowering local economies. They are seeking a talented Machine Learning Engineer to improve operational efficiency and develop ML models that impact millions of users across their marketplace of consumers, merchants, and dashers. Responsibilities: • Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions • Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance • Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities • Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions) Qualifications: Required: • M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production • Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc • Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting • Experience of shipping production-grade ML models and optimization systems • High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down • You’re an owner — driven, focused, and quick to take ownership of your work • Humble — you’re willing to jump in and you’re open to feedback • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team Company: DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. DoorDash has a track record of offering H1B sponsorships. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
Seattle, WA . Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $84,200.00-$180,400.00 5 days ago Seattle, WA $99,500.00-$200,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 1 week ago Seattle, WA $117,760.00-$147,200.00 3 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Seattle, WA $100,000.00-$720,000.00 2 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Seattle, WA $110,400.00-$138,000.00 1 week ago Seattle, WA $90,000.00-$170,000.00 1 week ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Bellevue, WA $157,000.00-$230,000.00 1 day ago Bellevue, WA $157,000.00-$230,000.00 3 days ago Software Engineer - New Grad (2026 Start) Seattle, WA $150,500.00-$269,200.00 5 days ago Seattle, WA $150,000.00-$175,000.00 3 months ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 day ago Seattle, WA $91,158.00-$139,222.66 2 weeks ago Jr. Software Development Engineer - Seattle/BellevueSoftware Engineer III, Full Stack, Chrome Seattle, WA $141,000.00-$202,000.00 4 days ago Seattle, WA $90,000.00-$180,000.00 2 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Seattle, WA $110,000.00-$165,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Machine Learning Engineer, Forecast Platform, Mid-Level
role at
Jobright.ai
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Machine Learning Engineer, Forecast Platform, Mid-Level 3 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, Forecast Platform, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. DoorDash is a technology and logistics company focused on empowering local economies. They are seeking a talented Machine Learning Engineer to improve operational efficiency and develop ML models that impact millions of users across their marketplace of consumers, merchants, and dashers. Responsibilities: • Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions • Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance • Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities • Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions) Qualifications: Required: • M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production • Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc • Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting • Experience of shipping production-grade ML models and optimization systems • High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down • You’re an owner — driven, focused, and quick to take ownership of your work • Humble — you’re willing to jump in and you’re open to feedback • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team Company: DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. DoorDash has a track record of offering H1B sponsorships. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
Seattle, WA . Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $84,200.00-$180,400.00 5 days ago Seattle, WA $99,500.00-$200,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 1 week ago Seattle, WA $117,760.00-$147,200.00 3 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Seattle, WA $100,000.00-$720,000.00 2 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Seattle, WA $110,400.00-$138,000.00 1 week ago Seattle, WA $90,000.00-$170,000.00 1 week ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Bellevue, WA $157,000.00-$230,000.00 1 day ago Bellevue, WA $157,000.00-$230,000.00 3 days ago Software Engineer - New Grad (2026 Start) Seattle, WA $150,500.00-$269,200.00 5 days ago Seattle, WA $150,000.00-$175,000.00 3 months ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 day ago Seattle, WA $91,158.00-$139,222.66 2 weeks ago Jr. Software Development Engineer - Seattle/BellevueSoftware Engineer III, Full Stack, Chrome Seattle, WA $141,000.00-$202,000.00 4 days ago Seattle, WA $90,000.00-$180,000.00 2 weeks ago Seattle, WA $140,000.00-$180,000.00 2 months ago Seattle, WA $110,000.00-$165,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr