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Junior Machine Learning Jobs in Austin, TX (NOW HIRING)

CV/ML Engineering Manager

Austin, TX · On-site

$180K - $300K/yr

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company ... Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through ...

CV/ML Engineering Manager

Austin, TX · On-site

$180K - $300K/yr

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company ... Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through ...

Lead AI and Data Science Engineer II

Austin, TX · On-site

$101K - $133K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven ... Mentor and uplift junior data scientists, setting standards for excellence Minimum Qualifications

Lead Data Scientist

Austin, TX · On-site

$120 - $170/hr

... machine learning and predictive modeling initiatives. At this level, they possess in-depth ... Act as a technical mentor and team lead for junior to mid-level data scientists (P1-P3). Coordinate ...

... junior engineers while working on key product challenges. Responsibilities : • Design and ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Invested in growing junior engineers and influencing team direction • Technically flexible ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Showing results 41-60

Junior Machine Learning information

See Austin, TX salary details

$7

$26

$46

How much do junior machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for junior machine learning in Austin, TX is $26.72, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $32.88 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What are the most commonly searched types of Machine Learning jobs in Austin, TX?

The most popular types of Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Junior Machine Learning jobs?

Cities near Austin, TX with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,576 per year, or $26.7 per hour.

CV/ML Engineering Manager

Allen Control Systems

Austin, TX • On-site

$180K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.

About The Role

We are looking for a Computer Vision/Machine Learning Engineering Manager to join the Computer Vision and Machine Learning team behind our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. This begins as a player-coach role: you will contribute directly to the CV/ML stack while managing and growing the team, with your hands-on share shifting toward management and technical review as the team scales. You will partner with our Chief Engineers and VP of AI to define the CV/ML technical roadmap and own its execution, translating product goals into team plans and delivery commitments as we harden the prototype into a military-grade system.

What You’ll Do

  • Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills.

  • Partner with Chief Engineers and VP of AI to define the CV/ML technical roadmap, and own its execution within your team.

  • Translate product and company goals, such as new weapon system variants, engagement ranges, hardening milestones, into quarterly team plans, priorities, and staffing decisions.

  • Contribute directly to development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.

  • Own delivery commitments for the CV/ML stack, coordinating integration milestones with electrical engineering and hardware teams.

  • Drive engineering quality through design and code review, and rigorous testing and validation practices across environmental conditions and scenarios.

What You’ll Need

  • Deep expertise and 10+ years of experience working on machine-learning-based computer vision and traditional image and signal processing, ideally in the context of robotics, including a proven track record of deploying CV systems in real-time or safety-critical applications.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • Experience managing or tech-leading a team of CV/ML engineers, and a desire to grow into a larger management scope.

  • Evidence of successfully owning a technical roadmap or planning process for a perception, autonomy, or similar product area.

  • Proficiency in Python and C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar; experience with embedded systems and sensor integration (cameras, LIDAR, RADAR) strongly preferred.

  • Comfort driving execution while collaborating on technical direction with senior technical leadership, in a fast-moving, engineering-first environment.

You’ll Stand Out

  • Formal management experience, including having hired and scaled a CV/ML or perception team at a startup or in a 0-to-1 product environment.

  • Ph.D. in computer vision, machine learning, or related fields.

  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.

  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.

  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms, or with multi-sensor fusion across modalities such as optical and infrared cameras.

  • Experience leading teams through field testing and hardware integration cycles, not just software-only development.

What We Offer

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-AS1

Compensation Range: $180K - $300K