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Machine Learning Engineer Biotech Jobs in Atlanta, GA

Cox Automotive

Machine Learning Lead Engineer

Lake City, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Pine Lake, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Chamblee, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Atlanta, GA

Machine Learning Engineer Biotech information

See Atlanta, GA salary details

$30.3K

$123.8K

$186.1K

How much do machine learning engineer biotech jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning engineer biotech in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

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

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Atlanta, GA? The most popular types of Machine Learning Engineer Biotech jobs in Atlanta, GA are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Atlanta, GA? For Machine Learning Engineer Biotech jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Atlanta, GA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Machine Learning Engineer Biotech jobs? Cities near Atlanta, GA with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you
Machine Learning Lead Engineer

Machine Learning Lead Engineer

Cox Automotive

Austell, GA

$134K - $224K/yr

Full-time

PTO

Posted 8 days ago

Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

90th of 138 rated financial services

Job description

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning.
WHAT YOU'LL DO
Key Responsibilities
  • Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
  • Stay up to date with advancements in ML, AI, and emerging technologies
  • Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
  • Optimize model performance, scalability, and reliability in production environments
  • Collaborate cross-functionally to translate model insights into business value and communicate project updates
  • Contribute to ML infrastructure improvements, best practices, and documentation
  • Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
  • Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
  • Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture.
  • Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning.
  • Analyzes complex data sets to solve real-world business and customer use cases.
  • Performs end-to-end development of machine learning models
  • May assist with or lead the development of industry whitepapers or other technical publications.
  • Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies.
  • Design agentic workflows for autonomous training, data pipelines, and analytical problem solving appropriate to experience level.

Key AI Use Cases
  • AI-Accelerated Model Development: Use GitHub Copilot, Claude Code for rapid ML prototyping, automated feature engineering, and intelligent hyperparameter optimization.
  • Agentic ML Workflows: Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training pipelines, multi-step analysis, and collaborative research.
  • AI-Enhanced Model Interpretation: Build on traditional frameworks (SHAP, LIME) with AI tools for enhanced stakeholder communication and automated insights.
  • AI-Powered Research: Leverage manual/autonomous competitive intelligence and research acceleration tools for methodology discovery and algorithm innovation.

WHO YOU ARE
Required Skills
  • Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
  • Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
  • Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
  • Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
  • Commitment to continuous learning in AI-augmented data science and responsible AI use.

Required Qualifications
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
  • Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
  • Deep expertise in multiple ML domains and familiarity with emerging research areas
  • Strong experience in technology evaluation, competitive analysis, and strategic planning
  • Comfortability with non-deterministic systems
  • Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
  • Experience in Rally, Jira or similar tools
  • Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
  • Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
  • Proven track record of leading innovative projects from concept to proof-of-concept
  • Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
  • Experience building and leading high-performing research or innovation teams
  • Excellent communication skills for technical and executive audiences
  • Strong network within the ML research community
  • Experience with research collaboration and partnership development
  • Other duties as needed or required
  • Must be comfortable with change and an evolving environment

Preferred Qualifications
  • Experience in corporate research labs, innovation teams, or technology consulting
  • Track record of identifying and successfully implementing breakthrough technologies
  • Background in technology transfer from research to business applications
  • Strong presence in the ML community (conference speaking, open-source contributions, etc.)
  • Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML

Leadership Expectations
  • Foster a culture of experimentation, learning, and calculated risk-taking
  • Drive consensus on research priorities while maintaining innovation velocity
  • Develop talent through mentoring in both technical skills and research methodologies
  • Communicate complex experimental results and strategic implications to all organizational levels
  • Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
  • Build bridges between cutting-edge research and practical business applications
  • Establish the team as a recognized center of excellence in experimental ML

USD 134,900.00 - 224,900.00 per year
Compensation:
Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

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