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Remote Machine Learning Postdoc Jobs in Dallas, TX

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

ABC Legal Services

Data Scientist

Dallas, TX · On-site +1

$110K - $130K/yr

Role Overview We're seeking a Data Scientist with hands-on experience in machine learning ... Strong self-direction and communication skills suited for a remote work environment Nice to Have

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Sparks Group

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Dallas, TX

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Dallas, TX? For Remote Machine Learning Postdoc jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Dallas, TX look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Machine Learning Postdoc jobs? Cities near Dallas, TX with the most Remote Machine Learning Postdoc job openings:
Remote Machine Learning Postdoc jobs near you
Data Scientist

Data Scientist

RealPage, Inc.

Richardson, TX • Remote

$116K - $198K/yr

Full-time

Posted 3 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

189th of 209 rated software companies

Job description

We are looking for a Data Scientist to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. 

This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. 


Machine Learning & Data Science 

  • Develop, evaluate, and deploy predictive and generative models for real production use cases 

  • Perform feature engineering and data preparation for modeling workflows 

  • Translate business and product questions into analytical solutions 

Generative AI 

  • Build and maintain LLM powered features and services 

  • Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases 

  • Integrate LLMs with APIs and internal tools using structured function calling 

  • Finetune foundation models with parameter efficient approaches (e.g., LoRA) 

  • Evaluate model quality, detect hallucinations, and implement safety guardrails 

  • Use synthetic data to improve model performance, testing, and fairness 

  • Optimize inference performance and cost across different model providers 

MLOps & Production Systems 

  • Deploy and operate machine learning and GenAI models in production 

  • Build CI/CD pipelines for models and data workflows 

  • Monitor performance, data quality, and model drift 

  • Design versioning, rollback, and retraining strategies 

  • Partner with platform and infrastructure teams to ensure reliability and scalability 

RealTime Analytics 

  • Build low latency data pipelines and real time decisioning systems 

  • Work with streaming data and event driven architectures 

  • Support systems with strict uptime and response time requirements 

  • Contribute to feature stores used for both real time and batch inference 


  •  3–6 years of experience in data science, machine learning, or applied AI 

  • A degree (Master's or better preferred)  in Computer Science, Data Science or related fields 

KNOWLEDGE/SKILLS/ABILITIES 

  •  Strong Python and SQL skills 

  • Handson experience deploying models into production 

  • Familiarity with cloud platforms (AWS, Azure, or GCP) 

  • Experience with modern ML frameworks (PyTorch, TensorFlow, scikitlearn) 

  • Exposure to LLMs, embeddings, and GenAI workflows 

  • Ability to communicate clearly with engineers, product managers, and nontechnical partners 

Nice to Have 

  • Experience with streaming data systems 

  • Experience operating models at scale 

  • Knowledge of MLOps tools and observability practices 

  • Experience building AI solutions that support customer facing products  #LI-REMOTE #LI-JL1

Physical Demands and Working Conditions 

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds. 

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

#LI-REMOTE #LI-JL1


USD $116,400.00 - USD $198,200.00 /Yr.

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