At Weights & Biases our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1000 customers and more than 30 foundation model builders including customers such as OpenAI NVIDIA Microsoft and Toyota.
Were hiring a Senior AI Solutions Engineer PreSales (EMEA) to help prospective customers evaluate and adopt Weights & Biases for their machine learning and AI workflows.
In this role youll work with leading ML and Generative AI teams across EMEA solving complex challenges in computer vision robotics NLP and LLMs. Youll lead technical evaluations deliver highimpact demonstrations and drive successful proofofvalues by aligning Weights & Biases with customer needs. Acting as a trusted advisor youll engage with both technical teams and executives translating AI/ML capabilities into real business value and guiding prospects through the decisionmaking process.
As part of our Field Engineering team youll collaborate closely with Sales Support Product and Engineering serving as the primary technical point of contact during presales engagements. Youll influence AI adoption strategies provide critical insights that shape our product roadmap and play a key role in closing highvalue enterprise deals. This role is perfect for a seasoned ML/AI expert who excels in customer engagement thrives on solving realworld AI challenges and is passionate about accelerating AI innovation across EMEA.
Responsibilities:
Master the implementation of effective robust and reproducible machine learning pipelines using Weights & Biases tools ensuring seamless integration into customer workflows.
Partner closely with customers and prospects to understand their ML/AI challenges define success criteria and serve as their trusted technical advisor throughout the evaluation process.
Effectively communicate best practices for instrumenting machine learning pipelines ensuring customers maximize the value of Weights & Biases in their AI development.
Deliver engaging product demos and handson workshops demonstrating how Weights & Biases solves realworld ML challenges and enabling customers to achieve technical success.
Work closely with Account Executives to develop and refine processes for key presales activities including proof of values (PoVs) demos and technical deep dives.
Collaborate with Support Product and Engineering teams to provide customerdriven insights influencing the product roadmap and driving continuous improvements.
Requirements:
3 years of experience in a seniorlevel customerfacing technical role (PreSales Solutions Engineer ML Engineer MLOps or AI/ML Consultant).
Proven ability to lead and drive complex technical evaluations (PoVs largescale demos workshops) for enterprise AI/ML customers.
Deep expertise in Python with handson experience in TensorFlow/Keras or PyTorch Lightning and advanced ML model lifecycle best practices.
Exceptional ability to engage and influence executive stakeholders translating ML/AI value into business impact.
Strategic advisory experience helping customers architect ML workflows and drive AI adoption.
Strong technical leadership mentoring junior engineers and shaping best practices in presales.
Cloud expertise (AWS GCP or Azure) with experience in architecting scalable ML solutions.
Proven success managing multiple highvalue enterprise engagements in a fastpaced highgrowth environment.
Strong Plus:
Expertise in Generative AI & LLMs (Hugging Face OpenAI finetuning prompt engineering).
Experience leading AI/ML solution design for largescale enterprise customers.
Deep MLOps & LLMOps knowledge advising customers on best practices for production AI.
Proficiency in ML infrastructure (Docker Kubernetes distributed training data pipelines).
Strong technical enablement background including running AI/ML workshops and training programs.
Fluency in French or German to support enterprise customers across EMEA.
Our Benefits:
Flexible time off
Medical Dental and Vision for employees and Family Coverage
Remote first culture with inoffice flexibility in San Francisco
Home office budget with a new highpowered laptop
Truly competitive salary and equity
12 weeks of Parental leave (U.S. specific)
401(k) (U.S. specific)
Supplemental benefits may be available depending on your location
We encourage you to apply even if your experience doesnt perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status. If you need additional accommodations to feel comfortable during your interview process reach out
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.