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Urgently Hiring Machine Learning Engineer New Grad Jobs in Texas

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

Quora

$139K - $168K/yr

Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

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Urgently Hiring Machine Learning Engineer New Grad information

What are some common challenges new graduates face when starting as a machine learning engineer, and how can they overcome them?

New graduates entering Machine Learning Engineering often find it challenging to bridge the gap between academic knowledge and real-world applications, especially when dealing with large, messy datasets and ambiguous business objectives. Collaborating effectively with cross-functional teams—such as data engineers, product managers, and software developers—can also be a learning curve, as clear communication and understanding of broader project goals are essential. To overcome these challenges, new grads should seek mentorship, actively participate in code reviews, and focus on continuously improving their coding and problem-solving skills through hands-on projects. Embracing feedback and staying updated with industry best practices will also accelerate their professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer new grad, and why are they important?

To thrive as a Machine Learning Engineer New Grad, you need a solid background in computer science, statistics, and programming (especially Python), typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is commonly required. Strong problem-solving abilities, teamwork, and effective communication help new grads excel in collaborative and fast-evolving environments. These skills ensure the ability to build, deploy, and continually improve machine learning models that solve real-world problems.

What does a machine learning engineer new grad do?

An entry-level Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and product teams to collect and preprocess data, select appropriate algorithms, and integrate models into production systems. New grads in this role often focus on learning industry best practices, improving model performance, and collaborating on cross-functional projects under the guidance of more senior engineers. They may also participate in code reviews, documentation, and continuous learning to stay updated with advancements in machine learning.
What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Texas? The most popular types of Machine Learning Engineer New Grad jobs in Texas are:
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Urgently Hiring Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer - New Grad 2026

Nextdoor

Dallas, TX • On-site

$150K - $175K/yr

Full-time

PTO

Posted 3 days ago

New

Job description

#TeamNextdoor
Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.
Meet Your Future Neighbors
At Nextdoor, Machine Learning is one of the most critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great machine learning engineers who believe in the power of the local community to empower our members to make their communities great places to live.
At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.
We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
The Impact You'll Make
You will be part of an avid and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis.
  • Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
  • Develop personalized content and user recommendation systems that millions of users rely on daily
  • Run and analyze live user-facing experiments to iterate on model quality
  • Collaborate with other engineers and data scientists to create optimal experiences on the platform
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture

We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.
What You'll Bring To The Team
  • Master's Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
  • Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
  • Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
  • Strong programming skills in Python or Java
  • Effective communication and collaboration skills
  • Passion for Nextdoor's mission and purpose
  • Bonus Points - Industry experience of applying machine learning at scale
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.
The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.
We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.
Perks & Benefits
We've got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:
  • Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc)
  • Flexible paid time off
  • Dedicated volunteer days
  • Stocked micro-kitchens and lunches at our offices
  • Ability to join any of our Employee Resource Groups (ERGs)

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

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