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Day Shift No Experience Machine Learning Jobs in Texas

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Employee Assistance Program - confidential support for personal or professional challenges, at no ... experience Perform data cleansing, analysis, and feature engineering using Python Ability to work ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Experience developing or applying machine learning solutions for data analysis, computer vision, video analysis, or related applications. * Programming experience in Python or another modern ...

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Machine Learning Tutor

Plano, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

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Day Shift No Experience Machine Learning information

What is the difference between Day Shift No Experience Machine Learning vs Data Analyst?

AspectDay Shift No Experience Machine LearningData Analyst
Required CredentialsBasic understanding of algorithms, no formal degree neededBachelor's in related field often preferred
Work EnvironmentTech companies, startups, or research labsCorporate offices, consulting firms, or finance
Employer & Industry UsageTech, AI, and software industriesBusiness, marketing, finance, and healthcare
Common Search & Comparison IntentEntry-level, no experience, beginner rolesData analysis, reporting, entry-level data jobs

While both roles may require basic technical skills, Day Shift No Experience Machine Learning positions focus on understanding algorithms and models with minimal experience, often in tech environments. Data Analysts typically analyze data sets to generate reports and insights, often requiring a degree. The roles differ in industry focus and skill sets but share an entry-level nature for those starting in data-related fields.

How to get into day shift no experience machine learning?

To get into a day shift machine learning role with no experience, focus on building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining familiarity with tools such as scikit-learn or TensorFlow. Entry-level positions often require a relevant degree or certification, and demonstrating a willingness to learn through online courses or projects can improve your chances.

What are popular job titles related to Day Shift No Experience Machine Learning jobs in Texas?

For Day Shift No Experience Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Day Shift No Experience Machine Learning jobs in Texas look for?

The top searched job categories for Day Shift No Experience Machine Learning jobs in Texas are:

What cities in Texas are hiring for Day Shift No Experience Machine Learning jobs?

Cities in Texas with the most Day Shift No Experience Machine Learning job openings:

Machine Learning Engineer

Avride

Austin, TX • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Qualifications:
Required:
• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.