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Phd Machine Learning Startup Jobs in Texas (NOW HIRING)

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... output PhD or Graduate degree with research/work experience utilizing data science techniques ...

We are currently looking for a Director of Machine Learning who will take the lead and manage ... Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work ...

We are currently looking for a Director of Machine Learning who will take the lead and manage ... Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work ...

We are currently looking for a Director of Machine Learning who will take the lead and manage ... Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work ...

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Phd Machine Learning Startup information

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.

What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.
What cities in Texas are hiring for Phd Machine Learning Startup jobs? Cities in Texas with the most Phd Machine Learning Startup job openings:
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

Full-time

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most - our users' trust.
As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build, and evolve models, tools and applications that power high-impact AI experiences across the company. You will contribute to the architecture and optimization of AI/gen AI systems built for high availability, scalability, and reliability, working across backend services and application layers. You would solve AI problems in gen AI Safety, machine translation, content understanding, multi-modality, multi-agent systems, fine tuning and more. Our team designs and implements SOTA AI Models, services, and AI platform components that advance adoption of gen AI at apple. We tackle unique AI challenges in AI Safety, privacy-preserving generations, efficient inference, and multimodal integration, while enabling teams to build on top of our foundations. We deliver production-grade systems and models that meet Apple's rigorous standards for quality, performance, and scalability.
Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academiaDemonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning with a passion for problem solving.
MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or related areas strongly preferred Experience in ML frameworks for training, fine-tuning, and deploying ML/generative models at scaleProven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud environments (AWS, GCP , Azure) or on-prem infrastructure

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976