Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Mobile Applications, Rewards Programs, E-commerceIndustries
Requirements
Candidates should have at least 2 years of software engineering experience with production-level coding, proficiency in Java or Go, and experience with microservices and coupled architectures. Experience with AWS technologies and distributed systems is required. Exposure to machine learning workflows or large language models (LLMs) is a plus.
Responsibilities
The Machine Learning Software Engineer will develop scalable backend services and microservices, build and optimize data pipelines, and partner with engineering teams to automate workflows and integrate models for revenue protection. They will educate stakeholders on ML-driven decision-making, drive automation across fraud, billing, and operations teams, and leverage AI-assisted development tools. The role involves designing, building, and deploying ML and LLM applications, championing software engineering best practices, and collaborating within a cross-functional team.
Skills
Machine Learning
Infrastructure
Data Engineering
Python
SQL
Cloud Platforms
AI
Problem-Solving
Critical Thinking
Fetch
On-demand delivery service for local products
About Fetch
Fetch Delivery Inc. provides on-demand delivery services to individual consumers and local businesses in Santa Fe, NM, and Boulder, CO. Customers can order a variety of products, including groceries, pharmacy items, meals, pet supplies, and more, sourced from hundreds of local businesses. Once an order is placed, Fetch's drivers pick up the items and deliver them directly to the customer's home. The company differentiates itself by focusing on local partnerships and offering a wide range of products, while also providing flexible earning opportunities for drivers. Fetch's goal is to meet the growing consumer demand for convenience and time-saving solutions in the local delivery market.
Irvine, CaliforniaHeadquarters
2013Year Founded
$9.2MTotal Funding
DEBTCompany Stage
Automotive & Transportation, Consumer Software, Consumer GoodsIndustries
11-50Employees
Benefits
Stock options
401k match
Medical, dental, & vision
Pet insurance
Education reimbursement
Flexible PTO
Parental leave
Flexible work schedule
Hybrid work environment
Risks
Increased competition from DoorDash and Uber Eats could overshadow Fetch's market presence.
Rising operational costs may impact Fetch's profitability as it scales delivery services.
Potential regulatory changes in gig economy labor laws could affect Fetch's business model.
Differentiation
Fetch offers a unique receipt-scanning rewards app, enhancing customer loyalty and engagement.
Fetch Delivery specializes in hyper-local delivery, focusing on Santa Fe and Boulder areas.
Fetch integrates AI and ML to optimize delivery logistics and improve user experience.
Upsides
Fetch raised $50 million from Morgan Stanley, indicating strong financial backing and growth potential.
Fetch's appointment of a former Uber executive as CFO strengthens its leadership team.
Fetch's use of AI and gamification can boost user engagement and retention.
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