Similar Jobs
Big Data • Information Technology
Lead the architecture and development of ML systems, integrating various models and tools, ensuring they are secure and efficient while mentoring engineers.
Top Skills:
FaissGrafanaHugging FaceKubernetesLancedbLangchainMilvusMlflowOpentelemetryPgvectorPrometheusPythonPyTorchRayWeaviate
Cloud • HR Tech • Professional Services • Software
Lead the development of AI agents and infrastructure, collaborate with stakeholders, design APIs and SDKs, and advocate for best practices.
Top Skills:
A2AAutogenLangchainMcpPython
Cloud • HR Tech • Professional Services • Software
Lead the design and delivery of ML infrastructure and models, mentor engineers, and drive innovation in AI-powered intelligence at Upwork.
Top Skills:
PythonPyTorchTensorFlow
About Us
Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.
The Role
Wizard is hiring ML Engineers, preferably with a background in NLP, to work on all aspects of dialog systems, from fine-tuning LLMs to serving models and building data pipelines and entity resolutions. If you don’t have an NLP background but have deep experience with Python and some exposure to ML and you are excited about the space and willing to learn, we would still encourage you to apply.
Key Responsibilities:
- Build and maintain a training pipeline for fine-tuning open-source LLMs. Testing different LLM architectures at different sizes and quantizations is important.
- Serve and Deploy the LLM on GPUs. It is important to know different configurations ahead of time to ensure we don’t OOM at runtime.
- Formulate novel product issues to ML problems and propose and iterate on solutions quickly. We value the fast pace of development.
- Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders.
- Keep up with the fast-growing generative AI space and incorporate the latest developments into our system.
You
- MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering.
- 5+ years ML Experience.
- Experience developing machine learning-driven products at scale.
- Experience solving problems using Machine Learning with PyTorch.
- Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs.
- Practical experience with large data systems, data models, and batch and streaming data pipelines.
- Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
- Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks.
The expected salary for this role is $260,000 depending on skills and experiences.
Benefits
- Early-stage startup with massive growth potential and ability to grow as Wizard grows
- Competitive compensation packages, including equity
- Health
- Comprehensive, high-quality medical coverage
- Dental & vision insurance
- OneMedical memberships for you and dependents
- Spring health platform for mental healthcare personalized to your needs
- XP Health eyewear benefits ($180, 3x per year)
- Rightway Health Guide
- Wealth
- 401(k) Plan
- Life & Disability insurance covered by Wizard
- Work/Life
- Flexible PTO and sick time to take care of yourself and your family
- 12 paid holidays
- 16 weeks parental leave for primary and secondary caregivers
Wizard AI New York, New York, USA Office
New York, New York, United States, 10013
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
