107 Senior Data Scientist Media Entertainment jobs in Arlington

Our client is seeking a highly analytical and innovative Senior Data Scientist to join our advanced analytics team. This is a fully remote position, offering the chance to leverage cutting-edge machine learning techniques to drive business insights and product innovation. You will be responsible for designing, developing, and deploying machine learning models, analyzing large datasets, and collaborating with engineering and product teams to implement data-driven solutions. The ideal candidate has a strong quantitative background, expertise in machine learning algorithms, and a passion for solving complex problems with data. Key responsibilities include:

• Developing, implementing, and deploying sophisticated machine learning models for prediction, classification, clustering, and anomaly detection.
• Performing data mining, feature engineering, and data preprocessing on large, complex datasets.
• Designing and conducting experiments to test hypotheses and evaluate model performance.
• Collaborating with stakeholders to understand business needs and translate them into data science problems.
• Working with engineering teams to integrate ML models into production systems and pipelines.
• Communicating complex analytical findings and recommendations to both technical and non-technical audiences.
• Staying current with the latest research and advancements in machine learning, AI, and data science.
• Mentoring junior data scientists and contributing to the team's technical growth.
• Developing and maintaining robust documentation for data science projects.
• Identifying opportunities to leverage data for business improvement and innovation.
• Evaluating and implementing new data science tools and technologies.

We require a Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of experience in data science, with a focus on machine learning, is essential. Proven experience in developing and deploying production-level machine learning models is required. Proficiency in Python or R, along with libraries like Scikit-learn, TensorFlow, or PyTorch, is mandatory. Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Excellent analytical, problem-solving, and communication skills are necessary. If you are a motivated data scientist looking to make a significant impact through advanced analytics in a remote setting, we encourage you to apply.

**Change the world. Love your job.**
We are seeking a highly motivated **Machine Learning Research Engineer** to join our Embedded AI team to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will lead the efforts on advancing the state-of-the-art in LLM architectures, Agentic LLM, and Reasoning LLM. Your work will involve exploring innovative approaches to integrate LLMs with domain knowledge, related tools, and other AI techniques to achieve human-like decision-making capabilities for business impact.
In this machine learning research engineer role, you'll have the chance to work on the following topics:
+ Explore the application of LLMs in code generation, evaluation, and optimization
+ Conduct research and development on novel and efficient LLM architectures, training algorithms, and post-training algorithms
+ Design and develop new reasoning models with domain-specific knowledge
+ Design and implement advanced Agentic LLM system for complex task automations
+ Collaborate with system teams and internal business teams to define and implement AI/ML solutions for core business
**Why TI?**
+ Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI ( Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
**Minimum requirements:**
+ Doctoral degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, or related field
+ 3 years of related experience
**Preferred qualifications:**
+ Strong background in Natural Language Processing, Large Language Models, and Deep Learning frameworks
+ Proven track record of designing, developing, and deploying machine learning models/LLMs that drive business value
+ Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization
+ Excellent understanding of LLM architectures and transformer-based models
+ Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm)
+ Strong foundation in text processing, tokenization, and embedding techniques
+ Knowledge of few-shot learning, transfer learning, and fine-tuning
+ Knowledge of LLM performance evaluation
+ Knowledge of reinforcement learning for LLM; Experience with LLM post-training implementation, including PPO, DPO, and GRPO
+ Experience with LLM agent implementation with tool calling
+ Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team
**ECL/GTC Required:** Yes

Our client is at the forefront of AI innovation and is seeking a highly skilled Senior Machine Learning Engineer to join their cutting-edge team. This is a fully remote position, offering the opportunity to contribute to groundbreaking projects from anywhere in the US. You will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. Responsibilities include researching and implementing state-of-the-art ML techniques, building and optimizing data pipelines, and ensuring the scalability and reliability of ML systems. You will work with large datasets, collaborate with data scientists and software engineers, and contribute to the entire ML lifecycle, from experimentation to production deployment. The ideal candidate will possess a deep understanding of ML algorithms, statistical modeling, and programming languages such as Python, R, or Java. Expertise in ML frameworks like TensorFlow, PyTorch, or scikit-learn is essential. Proven experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. You should have a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, coupled with a minimum of 5 years of hands-on experience in ML engineering. Excellent problem-solving skills, a strong analytical mindset, and the ability to communicate complex technical concepts clearly are critical. Join a forward-thinking company that is pushing the boundaries of what's possible with AI.

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Build and optimize data pipelines for ML training and inference.
• Research and implement state-of-the-art ML techniques.
• Collaborate with data scientists and software engineers on ML projects.
• Ensure the scalability, performance, and reliability of ML systems.
• Experiment with new tools and technologies to improve ML workflows.
• Deploy ML models into production environments.
• Monitor and maintain ML models in production.
• Contribute to the overall AI strategy and roadmap.

Qualifications:

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
• Minimum of 5 years of experience in Machine Learning Engineering.
• Proficiency in Python, R, or Java, and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Strong understanding of statistical modeling and algorithms.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Our client is a leader in the AI and Emerging Technologies space and is actively seeking a highly skilled Senior Machine Learning Engineer to join their innovative team in Fort Worth, Texas, US . This role is crucial for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. You will be instrumental in building scalable ML pipelines, experimenting with state-of-the-art techniques, and collaborating with data scientists and software engineers to bring AI-powered solutions to life.

Responsibilities:

• Design, develop, train, and deploy sophisticated machine learning models and algorithms.
• Build and maintain robust, scalable machine learning pipelines and infrastructure.
• Collaborate with data scientists to translate analytical models into production-ready code.
• Optimize model performance, efficiency, and scalability for real-world applications.
• Conduct thorough experimentation and evaluation of different ML approaches.
• Stay current with the latest advancements in machine learning, deep learning, and AI research.
• Develop and implement MLOps practices for continuous integration, deployment, and monitoring of ML models.
• Work with large datasets, perform feature engineering, and ensure data quality.
• Mentor junior engineers and contribute to the team's technical growth.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering or a related role.
• Proficiency in programming languages such as Python, Java, or C++.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, scikit-learn.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.

This is an exciting opportunity to work on cutting-edge AI technologies in Fort Worth, Texas, US .

About Us

Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes.

Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization — and that starts at the top!

Job Summary

Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You’ll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own.

The Director of AI & ML is a senior leadership role responsible for defining and executing the organization’s enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI and machine learning (ML) initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise with strategic acumen and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals.

Responsibilities

Strategic Leadership:

• Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives.
• Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk).
• Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes.
• Collaborate with executive leadership to develop AI-driven business models and solutions.

Program Oversight & Execution:

• Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale.
• Ensure proper governance, compliance, risk management, and ethical AI practices.
• Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives.
• Manage vendor relationships, including cloud providers, AI platforms, and consulting partners.

Team Leadership & Talent Development:

• Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts.
• Foster a culture of experimentation, agility, and responsible innovation.
• Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively.

Architecture, Data & Technology:

• Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks.
• Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms.
• Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business.

Position Requirements (Knowledge, Skills, and Abilities)

• 10+ years of experience in Data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role.
• Proven track record of delivering AI solutions that drive measurable business value.
• Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms.
• Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI).
• Strong knowledge of enterprise IT, data governance, architecture, and security standards.
• Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences.
• Strategic thinker with strong business acumen and a collaborative mindset.

Preferred Experience:

• Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance).
• Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices.
• Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows.

About Integrity

Integrity is one of the nation’s leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead.

Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you’ll love, and we’ll love you back. We’re proud of the work we do and the culture we’ve built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind.

Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are — in person, over the phone or online. Integrity’s employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit Integrity.com .

Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.

PandoLogic. Category:Science, Keywords:Machine Learning Manager, Location:Dallas, TX-75254

Description: We Are Lockheed Martin Aeronautics!

This exciting position is with the Aeronautics Artificial Intelligence Team located in Fort Worth, Texas. This position is for an experienced Artificial Intelligence Engineer to use and apply technical standards, principles, theories, concepts, and techniques in the Artificial Intelligence and software field to develop solutions to complex problems within Aeronautics.

What You Will Be Doing:

You will focus on the of products that implement to provide discriminating Artificial Intelligence (AI) technologies/capability to our customers. This will require engagement in every phase of the system lifecycle including requirements generation, system and design, implementation, integration, and flight test. Activities will range from proof of concepts, of prototypes, building demonstrators, and transition to production. The candidate will help to shape R&D opportunities (CRAD, CRADA, internal/external collaborations) with a focus on customer science and technology organizations, such as DARPA, AFRL or ONR.

Key Responsibilities:

• Collaborating with a multi-disciplinary team including program management, advanced concepts, advanced systems, special projects, and external customers.

• Drive the design and development of key technologies within the scope and realm of Artificial Intelligence and Machine Learning.

• Apply new and existing technologies in a dynamic fast paced environment.

• Up to 10% travel, primarily domestic may be required.

Must exhibit self-motivation, a strong work ethic, time and interpersonal skills.

***Secret clearance required with ability to obtain a Top Secret clearance***

What’s In It For You:

We offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Basic Qualifications:

• BS in Artificial Intelligence, Computer Science, Engineering, Math, Physics, or other Science related discipline with course work in AI/ML

• Experience developing software using Python and C++

• Up to 10% travel required, primarily domestic

Desired Skills:

• Professional experience with AI, ML, and/or data science technologies

• Active Secret or Top Secret clearance

• MS in Computer Science, Data Science, Mathematics, or Engineering with a focus / thesis in AI/ML

• Professional Experience developing models using supervised, unsupervised, or reinforcement learning techniques

• Experience with probability and statistics

• Experience with integration of software (or models) onto embedded single board computers

• Familiarity with any of these; Computer Vision, Path planning and obstacle avoidance, Anomaly detection, RF signal processing and Specialty sensing and communications hardware”, (i.e software defined radios, EO/IR cameras, etc…

• Familiarity with large scale software and system architecture and design

• Experience with DevOps tools: Docker, Git (GitLab, GitHub), BitBucket, Continuous Integration (CI), Continuous Deployment (CD)

• Experience developing applications on Linux

• Experience developing on cloud architectures (i.e. AWS)

• Knowledge of Agile Principles and Frameworks

Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level: Secret

Other Important Information You Should Know

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 4x10 hour day, 3 days off per week

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.

Experience Level: Experienced Professional

Business Unit: AERONAUTICS COMPANY

Relocation Available: Possible

Career Area: Artificial Intelligence

Type: Full-Time

Shift: First

**Description:** We Are Lockheed Martin Aeronautics!
This exciting position is with the Aeronautics Artificial Intelligence Team located in Fort Worth, Texas. This position is for an experienced Artificial Intelligence Engineer to use and apply technical standards, principles, theories, concepts, and techniques in the Artificial Intelligence and software field to develop solutions to complex problems within Aeronautics.
What You Will Be Doing:
You will focus on the of products that implement to provide discriminating Artificial Intelligence (AI) technologies/capability to our customers. This will require engagement in every phase of the system lifecycle including requirements generation, system and design, implementation, integration, and flight test. Activities will range from proof of concepts, of prototypes, building demonstrators, and transition to production. The candidate will help to shape R&D opportunities (CRAD, CRADA, internal/external collaborations) with a focus on customer science and technology organizations, such as DARPA, AFRL or ONR.
Key Responsibilities:
- Collaborating with a multi-disciplinary team including program management, advanced concepts, advanced systems, special projects, and external customers.
- Drive the design and development of key technologies within the scope and realm of Artificial Intelligence and Machine Learning.
- Apply new and existing technologies in a dynamic fast paced environment.
- Up to 10% travel, primarily domestic may be required.
Must exhibit self-motivation, a strong work ethic, time and interpersonal skills.
****Secret clearance required with ability to obtain a Top Secret clearance****
**What's In It For You:**
We offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
**Basic Qualifications:**
- BS in Artificial Intelligence, Computer Science, Engineering, Math, Physics, or other Science related discipline with course work in AI/ML
- Experience developing software using Python and C++
- Up to 10% travel required, primarily domestic
**Desired Skills:**
- Professional experience with AI, ML, and/or data science technologies
- Active Secret or Top Secret clearance
- MS in Computer Science, Data Science, Mathematics, or Engineering with a focus / thesis in AI/ML
- Professional Experience developing models using supervised, unsupervised, or reinforcement learning techniques
- Experience with probability and statistics
- Experience with integration of software (or models) onto embedded single board computers
- Familiarity with any of these; Computer Vision, Path planning and obstacle avoidance, Anomaly detection, RF signal processing and Specialty sensing and communications hardware", (i.e software defined radios, EO/IR cameras, etc.
- Familiarity with large scale software and system architecture and design
- Experience with DevOps tools: Docker, Git (GitLab, GitHub), BitBucket, Continuous Integration (CI), Continuous Deployment (CD)
- Experience developing applications on Linux
- Experience developing on cloud architectures (i.e. AWS)
- Knowledge of Agile Principles and Frameworks
**Security Clearance Statement:** This position requires a government security clearance, you must be a US Citizen for consideration.
**Clearance Level:** Secret
**Other Important Information You Should Know**
**Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
**Ability to Work Remotely:** Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
**Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
**Schedule for this Position:** 4x10 hour day, 3 days off per week
**Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.**
**The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.**
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.
**Experience Level:** Experienced Professional
**Business Unit:** AERONAUTICS COMPANY
**Relocation Available:** Possible
**Career Area:** Artificial Intelligence
**Type:** Full-Time
**Shift:** First

Our client is seeking a highly innovative and experienced AI Research Scientist specializing in Machine Learning to join their cutting-edge research team. This role, based in Fort Worth, Texas, US , offers a fully remote work arrangement. You will be at the forefront of developing advanced AI algorithms and models, contributing to breakthroughs in areas such as natural language processing, computer vision, and predictive analytics. The ideal candidate will have a strong theoretical foundation in machine learning, deep learning, and related mathematical disciplines, coupled with practical experience in applying these techniques to solve complex problems. Your responsibilities will include conducting state-of-the-art research, designing and implementing novel ML models, and experimenting with new AI frameworks and tools. You will collaborate closely with a team of researchers and engineers to translate research findings into practical applications and products. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, or Scikit-learn are essential. A background in areas like reinforcement learning, generative AI, or explainable AI is highly desirable. This is an exceptional opportunity to contribute to the advancement of AI technologies and to work on challenging projects that have a significant impact across various industries. We are committed to fostering an environment of scientific curiosity and innovation, empowering our researchers to explore new frontiers in artificial intelligence.
Responsibilities:

• Conduct advanced research in machine learning and artificial intelligence.
• Design, develop, and implement novel ML algorithms and models.
• Experiment with deep learning frameworks such as TensorFlow and PyTorch.
• Process and analyze large datasets for model training and evaluation.
• Collaborate with engineering teams to deploy AI models into production.
• Publish research findings in top-tier conferences and journals.
• Stay abreast of the latest advancements in AI and machine learning.
• Mentor junior researchers and contribute to team knowledge sharing.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of research experience in machine learning.
• Proven track record of developing and deploying ML models.
• Strong programming skills in Python and experience with ML libraries.
• Deep understanding of machine learning algorithms, statistical modeling, and data science.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Our client is a cutting-edge artificial intelligence research company seeking an experienced and innovative Lead Machine Learning Engineer for a fully remote position. You will spearhead the development, implementation, and deployment of advanced machine learning models and AI solutions that drive our core product innovation. This role demands a deep understanding of ML algorithms, statistical modeling, deep learning frameworks, and experience in scaling ML systems for production environments. You will lead a team of talented ML engineers, guiding them through the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.

Key responsibilities include designing and architecting scalable ML systems, selecting appropriate algorithms and tools for specific problems, and ensuring the robustness and efficiency of our ML pipelines. You will oversee the development of predictive models, recommendation engines, natural language processing applications, or computer vision systems, depending on project needs. This Lead ML Engineer will also be responsible for setting best practices for code quality, documentation, and MLOps. Collaboration with data scientists, software engineers, and product managers is crucial to translate business requirements into effective ML solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field, with a minimum of 7 years of professional experience in machine learning engineering, including at least 2 years in a leadership or supervisory role. Proven experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, and proficiency in programming languages like Python is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly valued.

Exceptional leadership, problem-solving, and communication skills are required to guide the team and collaborate effectively with stakeholders across the organization. You should be adept at evaluating new ML technologies and methodologies and have a strong track record of delivering complex ML projects successfully. This is a remote-first role, offering the flexibility to work from anywhere in the United States. You must be a self-starter, highly motivated, and capable of working independently while maintaining strong team collaboration. Join our pioneering team and shape the future of AI by building state-of-the-art machine learning solutions from your home office. This is a premier opportunity for a seasoned ML leader looking to make a significant impact in the rapidly evolving field of artificial intelligence.