Tensorflow Pytorch Jobs in Buffalo, NY (NOW HIRING)

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.
Who we are:
ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and, to support this, we offer:

• Multiple medical plans including a high deductible, low cost health plan
• Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
• Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance
• Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
• Employee Stock Purchase Program with additional opportunities to earn stock in the Company
• Retirement planning through the Company's 401(k)

What you will do:
ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.
This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.
The core responsibilities of this role are:

• Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
• Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
• Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
• Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
• Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
• Perform additional duties as assigned.

Required Qualifications:

• Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
• 3+ years of prior computer vision experience
• Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
• Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
• Experience optimizing high-latency models for real-time inference
• Backend software engineering experience in the cloud (AWS / Google Cloud Platform) with a focus on microservices (docker) and the ML model development lifecycle.
• Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:

• Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
• Experience designing evaluation frameworks for complex visual data

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Our Values
Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling
At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.
For information on our collection and use of your personal information, please see our Privacy Notice.
No immigration or work visa sponsorship provided for this position.
Compensation: The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skill set, location, business needs, market demands, and other factors as permitted by law.