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Machine Learning Researcher Jobs in Baton Rouge, LA

Bausch + Lomb

AI Agent ML Engineer

Baton Rouge, LA

$165K - $190K/yr

We have a significant global research, development, manufacturing and commercial footprint of ... Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning ...

State of Louisiana

CUSTODIAN 2

Baton Rouge, LA

$1K - $3K/mo

... and learning environment that creates global leadership opportunities for a diverse student ... research, service, scholarly and creative expectations for students and faculty are achieved ...

State of Louisiana

CUSTODIAN 2

Baton Rouge, LA · On-site

$1K - $3K/mo

... and learning environment that creates global leadership opportunities for a diverse student ... research, service, scholarly and creative expectations for students and faculty are achieved ...

Baker Distributing

Counter Sales Associate-Ice

Baton Rouge, LA · On-site

$15.25 - $19.25/hr

Provide customer product and service needs by researching products via computer system, catalog ... Demonstrated interest in continuous learning, mentoring, and leadership. * Mechanical or technical ...

State of Louisiana

CUSTODIAN 2

Baton Rouge, LA · On-site

$1K - $3K/mo

... and learning environment that creates global leadership opportunities for a diverse student ... research, service, scholarly and creative expectations for students and faculty are achieved ...

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Baton Rouge, LA

Machine Learning Researcher information

See Baton Rouge, LA salary details

$28.8K

$108.6K

$158K

How much do machine learning researcher jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning researcher in Baton Rouge, LA is $108,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $147,900.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

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

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are popular job titles related to Machine Learning Researcher jobs in Baton Rouge, LA? For Machine Learning Researcher jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Baton Rouge, LA look for? The top searched job categories for Machine Learning Researcher jobs in Baton Rouge, LA are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Baton Rouge, LA as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,617 per year, or $52.2 per hour.
Senior Digital Advertising Specialist

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA • Remote

Full-time

Posted 21 days ago

Job description

SASSO is seeking a Senior Digital Advertising Specialist to lead and scale high-performance digital advertising programs across a diverse portfolio of clients and industries. This role focuses primarily on Google Ads lead generation, with ownership spanning campaign strategy, execution, optimization, measurement, and conversion improvement.

The ideal candidate is a hands-on digital advertising operator who understands how paid media, analytics, landing page performance, and conversion rate optimization work together to drive qualified leads and measurable business outcomes.

Beyond campaign management, this role will help advance SASSO's AI-enabled media capabilities, leveraging modern advertising platforms, automation tools, and machine-learning insights to improve campaign efficiency, accelerate testing, and uncover deeper performance insights for clients.

Success in this role requires someone who is both analytically rigorous and execution-focused, capable of translating performance data into actionable improvements while continuously exploring new ways to leverage automation, artificial intelligence, and advanced analytics to improve campaign outcomes.


ESSENTIAL DUTIES & RESPONSIBILITIES:


  • Own and manage lead generation-focused Google Ads campaigns, including Search, Display, YouTube, and Performance Max, from initial structure through ongoing optimization.
  • Build campaigns from the ground up including keyword research, account structure, bidding strategies, ad copy, extensions, and landing page alignment.
  • Optimize campaigns against core performance marketing metrics including Customer Acquisition Cost (CAC), Cost per Lead (CPL), Return on Ad Spend (ROAS), Marketing Efficiency Ratio (MER), and conversion rate.
  • Monitor performance trends and apply data-driven optimizations across keywords, audiences, bidding strategies, and creative performance.
  • Use GA4 and advertising platform data to analyze user behavior, conversion paths, and campaign performance.
  • Ensure accurate conversion tracking and attribution, working with internal teams to maintain reliable measurement.
  • Leverage AI-driven capabilities within advertising platforms including smart bidding, predictive audience signals, and automated optimization tools to improve campaign efficiency and insights.
  • Design and execute structured testing frameworks, including A/B and multivariate tests across ads, audiences, bidding strategies, and landing pages.
  • Identify opportunities to improve conversion performance, partnering with design, development, and content teams on landing page improvements, messaging alignment, and testing initiatives.
  • Develop and execute structured testing programs across ads, audiences, and landing pages to continuously improve performance.
  • Manage campaign budgets, pacing, and performance forecasts across multiple accounts.
  • Translate performance data into clear insights and actionable recommendations for internal teams and clients.


REQUIREMENTS:


Education and Experience:

  • Bachelor's degree in Marketing, Communications, Business, Analytics, or a related field (or equivalent professional experience).
  • 5-8 years of hands-on experience managing performance-driven, lead-generation digital campaigns
  • Demonstrated success building, optimizing, and scaling performance marketing campaigns that drive qualified leads or revenue outcomes.
  • Strong working knowledge of GA4, campaign attribution, and digital performance analytics.
  • Experience managing campaigns across multiple Google Ads formats including Search, Display, YouTube, and Performance Max.
  • Practical experience applying conversion rate optimization (CRO) principles to paid traffic and landing pages.

Behavioral Competencies:

  • Performance Mindset: Focused on measurable outcomes such as CAC, ROAS, conversion rates, and lead quality.
  • Analytical & Data Driven: Comfortable analyzing complex datasets and translating insights into strategic improvements.
  • Ownership & Accountability: Takes responsibility for campaign performance and continuously seeks optimization opportunities.
  • AI & Technology Fluency: Demonstrates curiosity and comfort leveraging automation, machine learning tools, and AI-assisted platforms to improve marketing performance.
  • Collaborative Communication: Works effectively across strategy, creative, analytics, and account teams.
  • Adaptability: Thrives in a fast-moving environment where testing, iteration, and continuous learning are expected.

WORK ENVIRONMENT & PHYSICAL DEMANDS

  • This position is headquartered in Baton Rouge, Louisiana, but remote candidates currently based and authorized to work in the United States are encouraged to apply. Candidates should be willing and able to travel to the Baton Rouge office on an occasional basis.
  • We are not able to sponsor visas or consider international candidates as this time.
  • Occasional travel may be required for client meetings, events, or project-related needs.
  • Requires extended periods of computer work and virtual meeting participation.

Apply