68 Data Scientists jobs in Raleigh

About Pryon: We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. We're looking to hire a Senior Machine Learning Engineer in our Modeling & Large Language Models team. In this role, you'll be part of a team that is building world-class information retrieval and question answering systems over structured and unstructured data. The Senior Machine Learning Engineer will be responsible for creating scalable enterprise grade question and answer systems using innovative machine learning and artificial intelligence tools and concepts. In This Role, You Will: Develop and fine-tune Large Language Models (LLMs) to meet specific product requirements. Design and implement scalable machine learning pipelines for training and deploying LLMs. Optimize LLMs for performance, efficiency, and accuracy in various applications. Collaborate with data scientists, product managers, and software engineers to integrate LLMs into products. Conduct thorough testing and validation of models to ensure robustness and reliability. Continuously research and stay up to date with advancements in LLMs and related technologies. Develop and document methodologies, findings, and best practices for LLM fine-tuning. Mentor junior team members and contribute to a culture of continuous learning. Participate in code reviews and ensure high coding standards within the team. Engage in the full machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring What You'll Need to Be Successful: Education: Master’s degree in Computer Science, Information Systems, Mathematics, Computer Engineering or a related field or foreign equivalent degree. 3 years+ industry experience in machine learning, with a focus on developing language models and natural language systems; 3 years+ experience developing LLMs, such as GPT, BERT, or similar models. 3 years+ experience working with Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. 3 years+ experience with cloud services (e.g. AWS, GCP, Azure) and ML infrastructure. 3 years+ experience working with software engineering principles and fundamentals, including data structures and algorithms. 3 years+ experience developing problem-solving skills and working in a collaborative team environment. 3 years+ experience working with embeddings, vectorization, and database optimization. 3 years+ experience working with ethical considerations in AI and a commitment to developing responsible AI solutions. $130,000 - $150,000 a year Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your dependents - Life Insurance, Short-term and Long-term Disability - 401k - Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

Data Scientist/Machine Learning Engineer With Gen AI Exp Data Scientist/Machine Learning Engineer With Gen AI Exp 3 days ago Be among the first 25 applicants Dice is the leading career destination for tech experts at every stage of their careers. Our client, RapidIT, Inc, is seeking the following. Apply via Dice today! Job Title: Data Scientist/Machine Learning Engineer With Gen AI Exp Location: Raleigh, NC Hybrid /Remote Also Duration: C2H Description: Technical Expertise**: **Core Skills**: Proficiency in NLP, and transformer-based architectures, with a transition to Generative AI (Gen AI). Experience in sentiment analysis, named entity recognition (NER), and text classification using NLP is essential. **Resume Scrutiny**: If a resume highlights NLP, candidates must elaborate on specific tools, techniques, and their applications (e.g., keyword extraction from PDF documents using sentiment analysis). **RAG Focus**: Retrieval-Augmented Generation (RAG) is critical. Candidates should be prepared to discuss challenges, such as latency or relevancy issues in RAG systems, and explain how they optimized performance, tying solutions to specific projects. **LLM Experience**: Candidates must detail their work with large language models (LLMs), including the extent of involvement (e.g., fine-tuning, prompt engineering) and full lifecycle experience. Familiarity with bots or assistants (internal or external) and their user base scale (comparable to Google s) is a plus Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Sign in to set job alerts for “Data Scientist” roles. Raleigh, NC $55,000.00-$0,000.00 2 days ago Durham, NC 55,000.00- 80,000.00 2 days ago Chapel Hill, NC 55,000.00- 80,000.00 2 days ago Data Scientist, Data & AI Team (US Remote) Data Scientist – NLP & Real World Evidence (RWE) - Remote Raleigh-Durham-Chapel Hill Area $1 0,000.00- 210,000.00 2 hours ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Senior Clinical Bioinformatics Data Scientist Durham, NC 88,300.00- 220,900.00 5 hours ago Durham, NC 26,500.00- 66,100.00 1 day ago Software Engineering Specialist - Human Data Raleigh-Durham-Chapel Hill Area 80.00- 90.00 1 day ago Raleigh-Durham-Chapel Hill Area 2 weeks ago Python Software Engineer - Ubuntu Hardware Certification Team Raleigh, NC 100,000.00- 110,000.00 10 hours ago Software Engineer (Python/Linux/Packaging) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

**Job Description**

**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.

**Role:** The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.

The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles.

**What You'll Do:**

+ Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.

+ Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.

+ Work as part of an ML team and contribute strong software engineering (SWE) expertise.

+ Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.

+ Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies.

**Additional Job Description**

**Your Skills & Abilities:**

+ 4+ years of experience in the field of robotics or latency-sensitive backend services

+ Background working with machine learning teams, algorithms, and models

+ Bonus: Experience building highly performant ML and system pipelines

+ Strong programming skills in modern C++ or Python

**Bonus:**

+ Experience with profiling CPU and/or GPU software, process scheduling, and prioritization

+ Passionate about self-driving car technology and its impact on the world

+ Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.

+ Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.

+ Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

+ Track record in deploying perception/prediction/av models into real world environments

**Your Skills & Abilities** **:**

+ 4+ years of experience in the field of robotics or latency-sensitive backend services

+ Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch

+ Experience building highly performant ML and system pipelines

+ Strong programming skills in modern C++ or Python

+ Experience with profiling CPU and/or GPU software, process scheduling, and prioritization

+ Passionate about self-driving car technology and its impact on the world

+ Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.

+ Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.

+ Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

+ Track record in deploying perception/prediction/av models into real world environments

+ Experience working with RL and sequence prediction (ML) models

**Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

+ The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

+ Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

**Relocation:** This job may be eligible for relocation benefits.

#LI-MH2

**About GM**

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

**Why Join Us**

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

**Benefits Overview**

From day one, we're looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources (m.com/en/working-at-gm/total-rewards) .

**Non-Discrimination and Equal Employment Opportunities (U.S.)**

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (m.com/en/how-we-hire) .

**Accommodations**

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

**Our Company (m.com/en/working-at-gm/)**

**Our Culture**

**How we hire? (m.com/en/how-we-hire/)**

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (m.com/en/locations/)

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Join to apply for the Staff Machine Learning Engineer (ML Portfolio) role at Affirm 2 weeks ago Be among the first 25 applicants Join to apply for the Staff Machine Learning Engineer (ML Portfolio) role at Affirm Get AI-powered advice on this job and more exclusive features. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Portfolio ML team manages and optimizes the flow of loan opportunities across Affirm-owned and operated properties. We build models, tools, and libraries to support portfolio management actions that balance unit economics, product growth, and user experience. We power ROA-based decisioning; real-time and offline conversion rate prediction; counterfactual portfolio simulation; and the valuation of loans. We sit within the Decisions Foundations org. What You’ll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For Bachelors in a technical field with 8+ years of industry experience. Relevant PhD can count for up to 2 YOE. Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk, portfolio management, learning to rank, and personalization is a plus Strong engineering skills in Python and data manipulation skills like SQL You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $75,000 USA base pay range (all other U.S. states) per year: 200,000 - 250,000 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) Location: Remote - US Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. Benefits We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. (For U.S. positions that could be performed in Los Angeles or San Francisco) Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at Affirm by 2x Get notified about new Machine Learning Engineer jobs in Raleigh, NC . Data Scientist, Data & AI Team (US Remote) Raleigh, NC $113 523.00- 130,000.00 6 days ago Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Software Engineer, AI Platform (Accelerator, Wheel to RPM)- AI Engineering Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Data Scientist – NLP & Real World Evidence (RWE) - Remote Full Stack Software Engineer, Higharc Studio Raleigh, NC $1 5,000.00- 150,000.00 2 days ago Software Engineer I (Merchant Data Platform) Raleigh, NC 109,955.00- 148,439.00 5 months ago Software Engineer - Solutions Engineering Software Engineer, Infrastructure (Experienced) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Job Description

Do you want to be a part of changing healthcare?

Oracle is excited to be using our resources, knowledge, and expertise-as well as our successes in other industries-and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it's deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.

Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you'll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.

About the Team:

As part of the Oracle Health Foundations Organization, you'll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale.

As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of our ML systems. You'll be responsible for not only designing and building production-grade models and infrastructure, but also mentoring others, influencing architectural decisions, and driving cross-team collaboration. This is a high-ownership, high-visibility role where you will combine your engineering acumen with applied ML expertise to solve business-critical problems.

Responsibilities

Responsibilities:

• Design and lead the implementation of machine learning systems that detect anomalies, predict incidents, and enable autonomous reliability features in Oracle Health platforms.

• Develop scalable software services that integrate ML models into observability and operations pipelines.

• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, and iteration using MLOps best practices.

• Guide architecture decisions around ML infrastructure, data pipelines, model serving, and observability integrations.

• Partner with cross-functional stakeholders (engineering, SRE, product, operations) to align technical solutions with strategic objectives.

• Mentor and provide technical direction to junior engineers and data scientists on modeling, code quality, and deployment best practices.

• Stay current with emerging technologies in ML engineering, anomaly detection, time series, and reliability automation-and lead efforts to evaluate and integrate them.

Requirements:

• 10+ years of experience in applied machine learning, with at least 3+ years in an engineering-heavy role deploying ML models to production at scale.

• Strong software development and system design skills in Python; experience building APIs, services, and production systems.

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Proven experience architecting and deploying models in cloud environments (OCI, AWS, GCP, or Azure), with knowledge of CI/CD, containerization, and orchestration (e.g., Docker, Kubernetes).

• Deep knowledge of time series modeling, anomaly detection, and telemetry data (logs, metrics, traces).

• Proficiency in SQL and distributed data tools (e.g., Spark, BigQuery, Flink, or similar).

• Demonstrated ability to drive technical strategy and influence cross-functional direction.

• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field preferred.

Skills:

• Machine Learning System Design & Deployment

• MLOps, CI/CD Pipelines, Model Monitoring

• Production-Grade Software Engineering (Python, APIs, Services)

• Anomaly Detection & Forecasting with Observability Data

• Scalable Data Pipelines (Streaming and Batch)

• Cloud-Native Architecture (OCI, AWS, GCP)

• Distributed Systems & Data Engineering (Spark, Kafka, etc.)

• Cross-Team Technical Leadership

• Strong Communication & Influence Skills

#LI-REMOTE

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Senior Machine Learning Engineer I, AI Foundations About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position Join our AI Foundations Team as a Senior Machine Learning Engineer I, where you will be a core contributor to building our core AI/ML infrastructure. This role is focused on hands-on development and deployment of proprietary and open source models as part of our AI Platform, Services, and Governance layers—enabling scalable access to AI and tooling for the entire organization. You will work collaboratively with Product, Engineering, and Data Science teams to create, iterate, and refine solutions that establish the foundational bets for our AI strategy. This role is ideal for an engineer passionate about applying technology to create meaningful and impactful solutions in the pharmaceutical industry. Responsibilities Collaborate cross functionally with product managers and domain experts to design, build, and refine ML-driven solutions for drug development. Ensure the scalability, security, and performance of AI/ML systems. Stay ahead of AI and LLM advancements, advocating for their adoption and providing expert guidance across teams. About You 5+ years of experience in Biotech/Pharma software development, excelling in fast-paced, ambiguous environments. Proven track record of launching and scaling innovative 0-1 products. Master’s degree or higher in Computer Science, Engineering, AI, Machine Learning, or equivalent experience. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, RAGAs), including hands-on model building and fine-tuning. Strong collaboration & communication skills , able to engage diverse stakeholders and translate complex technical concepts into clear insights and solutions Familiarity with cloud infrastructure (AWS, Azure, GCP) and modern software deployment (containerization, CI/CD). Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $180,000 - $230,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #LI-hybrid Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website How did you hear about this job? Github URL Reflecting on your recent work experience, what's the most interesting technical challenge you've tackled lately? * Are you legally authorized to work in the United States? * Select. If hired by Formation Bio, will you now or in the future require sponsorship for employment visa status (e.g. H-1B, TN, OPT, etc)? * Select. Are you within 60 miles commutable distance to our midtown manhattan office or the Downtown Boston area? * Select. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Formation Bio’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select. Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. #J-18808-Ljbffr

Job Requisition ID #

25WD89730

Position Overview

Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.

As a Machine Learning Developer/Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.

Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

Location: We support hybrid work or remote work. East Coast United States.

Responsibilities

• Architect and guide the implementation of scalable data pipelines and architectures

• Work with large-scale multimodal datasets (text, 2D/3D geometry, and structured data), developing advanced preprocessing, augmentation, and content understanding techniques

• Architect, develop, and optimize production-level ML solutions, focusing on scalability and reliability, while contributing to engineering best practices

• Establish best practices for model experimentation, evaluation, and optimization

• Contribute to technical execution by writing well-structured, high-performance code for production ML pipelines

• Perform in-depth requirements analysis, collaborating with team members at different levels and documenting solutions

• Set the technical direction by identifying key challenges and defining innovative solutions

• Communicate technical findings effectively, influencing stakeholders through quantitative analysis, qualitative insights, and clear visual presentations

• Mentor and guide junior engineers, fostering a culture of technical excellence and knowledge-sharing within the team

Minimum Qualifications

• An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field

• 10+ years of experience in machine learning engineering or a related field, with a proven track record of leadership and hands-on implementation

• Expertise in deep learning architectures (e.g., Transformers, CNNs, GANs) and modern ML frameworks (e.g., PyTorch, Lightning, Ray)

• Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings

• Deep understanding of data modeling, system architectures, and processing techniques, including 2D/3D geometric data representations

• Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development

• Strong foundation in computer science fundamentals, distributed computing, and algorithmic efficiency

• Proven ability to translate theoretical concepts into practical solutions and prototype implementations

• Ability to work autonomously while effectively collaborating across teams, bridging the gap between research and practical implementation

• Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams

Preferred Qualifications

• Background in Architecture, Engineering, or Construction

• Extensive experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods

• Proficiency in parallel and distributed computing techniques, with hands-on experience using platforms like Spark, Ray, or similar distributed systems for large-scale data processing and model training

• Proven record in developing and deploying high-scale machine learning algorithms in production environments

Ideal Candidate

• You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques

• You are comfortable driving progress in newly forming, ambiguous areas where learning and adaptability are key

• You lead by doing, combining technical leadership with hands-on implementation

• You easily collaborate with others and are comfortable with minimal direction

• You constantly strive to learn new technologies and methodologies

• You seek innovative solutions to difficult technical problems and iterate quickly on ideas

• You are unafraid to experiment, share your ideas openly, and fail fast

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .

PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS (NO EXCEPTIONS): Master's or PhD Preferred! 5-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning. 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc., UTILIZING RAG! Experience working directly with large language models and Transformer-based architectures including BERT, RoBERTa, T5, etc. NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization) Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation DevOps repositories Debugging, building APIs, and managing the algorithm flow across multiple workstreams in one repo Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. Description TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, a leading global provider of information and analytics. Recently, our client has focused on the general availability of its product for U.S. customers, a generative AI solution designed to transform legal work. Their product delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard's Citations functionality, and authoritative content. The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for LexisNexis in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic's Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI's GPT-4 and ChatGPT, hosted on Microsoft Azure. Accountabilities Solve challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection. Research, build, and deploy models based on shallow and deep machine learning. Train robust NLP models on large news and financial data. Apply machine learning techniques to improve search algorithms. Drive best practices for NLP/Machine Learning pipelines. Maintain current knowledge of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), APIs, and open-source methods, evaluating alternatives quickly. Translate complex business requirements into actionable stories with reasonable time estimates. Collaborate with product leaders to apply data science solutions. Strong coding skills in Python, 7+ years. Problem-solving ability and team collaboration. Proficiency in IDE debugging: VSCODE and PYCHARM. Excellent communication skills. 4+ years of experience in AI and machine learning. Deep understanding of machine learning algorithms, classification models, and diagnostic testing. Experience with Transformer-based architectures including BERT, RoBERTa, T5, etc., and familiarity with large language models and fine-tuning. Experience with conversational/semantic search, reinforcement learning, prompt engineering, hallucination mitigation. Understanding of business risks related to applying LLM (LangChain) in business contexts. Experience working with AWS, RAG, SageMaker, SQL. Skills Data science, NLP, indexing, semantic search, conversational search, LangChain, Generative AI, Large language models, SQL, AWS, algorithms, AI, Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing. Additional Information This is a fully remote position. The application deadline is Jul 30, 2025. Compensation ranges from $50.00 - $85.00/hr. Benefits include health coverage, 401(k), life insurance, disability, HSA, transportation benefits, PTO, and more. TEKsystems is an equal opportunity employer committed to diversity and inclusion. #J-18808-Ljbffr

w/ Red Hat, Inc. U.S. Remote. Telecommuting role to be performed in anywhere in the U.S. Dvlp new machine learning models to help Red Hat mktg continue to adopt a more data-driven approach to campaign decision making. Position reqs a Bach  deg (U.S. or foreign equiv) in Comp Sci, Info Systems, Info Mgmt or rel field & 3 yrs of exp in the job offered or rel role OR Master's deg (U.S. or foreign equiv) in Comp Sci, Info Systems, Info Mgmt or rel field & 2 yrs of exp in the job offered or rel  role. Must have 2 yrs of exp w/: taking complex bus  problems & breaking them down to smaller, attainable chunks & applying analytical methods to dvlp a solution; data sci  concepts & analytical methodologies incl  stat  analysis, machine learning, & generative AI, as well as discerning the appropriate situations to apply each approach; understanding broader bus motivations & pain points behind each project; working in small teams & larger cross-functional initiatives & contributing to those as a project member; articulating complex analytical results to both tech & non-tech audiences; choosing appropriate data sci tools & methodologies w/ some supervision & help from teammates; & using Python, SQL, BASH, &/or Spark programming languages to dvlp data sci solutions. Job ID: R-048996 Qualified Applicants: Apply online at Sal: $113,500 - $181,440/ yr. Actual offer will be based on your qualifications.