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ai/ml modeling engineer ii (intern)- united states Jobs in San Francisco United States

machine learning engineer Jobs in San Francisco United States

machine learning engineer

ai engineer (assistant) Jobs in San Francisco United States

ai engineer (assistant)

ai/ml engineer Jobs in San Francisco United States

ai/ml engineer

ai ml engineer

<div>Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd 
Posted Date: Mar 2 2026 
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK&rsquo;s unique access to data.
By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK&rsquo;s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.
As a Machine Learning Engineer focusing on applications in oncology, you will be expected to:<ul><li>
Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets.</li><li>
Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). &bull; Connect and collaborate with subject matter experts in biology, genomics, and medicine.</li><li>
Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.</li><li>
Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation.</li><li>
Deploy your algorithms to production to identify actionable insights from large databases.</li></ul><h1 class="jobSectionHeader">
Why you?
</h1>Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:<ul><li>
Master&rsquo;s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field</li><li>
Experience in Python programming and knowledge in machine learning, statistics, and applied math.</li><li>
Familiarity with modern machine learning methods (generative models, representation learning)</li><li>
Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems</li><li>
Experience with at least one Deep Learning framework such as PyTorch</li></ul>
Preferred Qualifications:
If you have the following characteristics, they would be a plus:<ul><li>
PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field.</li><li>
Experience in analyzing real-world and/or clinical data.</li><li>
Experience in incorporating agentic models into ML workflows</li><li>
Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services.</li><li>
Knowledge of cancer biology and precision oncology.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to digest, synthesize, and implement innovative methods from scientific literature.</li><li>
Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.</li><li>
Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day.</li><li>
High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus</li><li>
Publicaiton in natural sciences would be a plus</li></ul>
#LI-GSK
# GSKAIML<ul><li>If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875.
</li></ul> 
The US salary ranges take into account a number of factors including work location within the US market, the candidate&rsquo;s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. 
 
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer

Cisco

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
Applications are accepted until further notice.
 
Meet the Team
 
Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco’s vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.
 
Your Impact
 
As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.
 
<ul>
<li>Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.</li>
<li>Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.</li>
<li>Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.</li>
<li>Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team’s shared codebase and technical documentation.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field.</li>
<li>Strong foundational knowledge of programming languages such as Python, Java, or C++.</li>
<li>Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.</li>
<li>Solid mathematical background in linear algebra, calculus, and probability/statistics.</li>
<li>Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.</li>
<li>Familiarity with version control systems like Git and collaborative development environments.</li>
<li>Basic knowledge of SQL and experience working with relational databases or structured data.</li>
<li>Previous experience with Jupyter Notebooks for data exploration and visualization.</li>
<li>Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$44,000.00 - $185,000.00Non-Metro New York state& Washington state:
 $44,000.00 - $185,000.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
 ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

AI/ML Modeling Engineer II (Intern)- United States

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
 
 Applications are accepted until further notice.
 
 
 
 Meet the Team
 
 
 
 Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco&rsquo;s vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.
 
 
 
 Your Impact
 
 
 
 As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.
 
 
 <ul>
 <li>
 Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.
 </li>
 <li>
 Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.
 </li>
 <li>
 Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.
 </li>
 <li>
 Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team&rsquo;s shared codebase and technical documentation.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field.
 </li>
 <li>
 Strong foundational knowledge of programming languages such as Python, Java, or C++.
 </li>
 <li>
 Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.
 </li>
 <li>
 Solid mathematical background in linear algebra, calculus, and probability/statistics.
 </li>
 <li>
 Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Familiarity with version control systems like Git and collaborative development environments.
 </li>
 <li>
 Basic knowledge of SQL and experience working with relational databases or structured data.
 </li>
 <li>
 Previous experience with Jupyter Notebooks for data exploration and visualization.
 </li>
 <li>
 Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
 
 
 Message to applicants applying to work in the U.S. and/or Canada:
 
 
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
 
 U.S. employees are offered benefits, subject to Cisco&rsquo;s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
 
 U.S. employees are eligible for paid time away as described below, subject to Cisco&rsquo;s policies:
 
 
 <ul>
 <li>
 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
 </li>
 <li>
 1 paid day off for employee&rsquo;s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
 </li>
 <li>
 Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
 </li>
 <li>
 Exempt employees participate in Cisco&rsquo;s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
 </li>
 <li>
 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
 </li>
 <li>
 Additional paid time away may be requested to deal with critical or emergency issues for family members
 </li>
 <li>
 Optional 10 paid days per full calendar year to volunteer
 
 
 </li>
 </ul>
 For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco&rsquo;s policies.
 
 
 Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows
 
 
 <ul>
 <li>
 .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
 </li>
 <li>
 1.5% of incentive target for each 1% of attainment between 50% and 75%;
 </li>
 <li>
 1% of incentive target for each 1% of attainment between 75% and 100%; and
 </li>
 <li>
 Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
 
 
 </li>
 </ul>
 For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
 
 The applicable full salary ranges for this position, by specific state, are listed below:
 
 
 
 New York City Metro Area
 
 
 
 $44,000.00 - $185,000.00
 
 
 
 Non-Metro New York State &amp; Washington State
 
 
 
 $44,000.00 - $185,000.00
 
 
 <ul>
 <li>
 For quota-based sales roles on Cisco&rsquo;s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
 </li>
 <li>
 Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
 </li>
 </ul>
</div>

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

Glocomms

<div>
 
 
 Software Engineer, Data &amp; Machine Learning
 
 
 
 
 Location:
 
 Remote, United States
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Compensation:
 
 Starting at $110K
 
 
 
 
 
 We're looking for a Software Engineer, Data &amp; Machine Learning to join a growing engineering team focused on building intelligent, production-grade systems. This role is ideal for an engineer with hands-on experience applying machine learning and deep learning techniques to real-world problems, particularly in areas like computer vision and modern AI models.
 
 
 You'll work closely with other engineers and machine learning practitioners to design, train, and deploy models that operate at scale. This is a hands-on role with meaningful ownership over model development, experimentation, and integration into production systems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize machine learning models for tasks such as image classification, object detection, or related vision problems
 </li>
 <li>
 Experiment with modern deep learning architectures, including convolutional models and transformer-based approaches
 </li>
 <li>
 Contribute to end-to-end ML workflows, from data preparation and training through evaluation and deployment
 </li>
 <li>
 Analyze large, complex datasets to improve model performance and reliability
 </li>
 <li>
 Write clean, well-documented, production-quality code and contribute to shared ML tooling and infrastructure
 </li>
 <li>
 Partner with cross-functional engineering teams to integrate models into live systems
 </li>
 <li>
 Stay current with emerging techniques in machine learning and applied AI
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 2-5 years of experience in Software Engineering, Machine Learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
 </li>
 <li>
 Hands-on experience with deep learning models, particularly in computer vision
 </li>
 <li>
 Solid understanding of supervised learning, model evaluation, and core ML concepts
 </li>
 <li>
 Experience with version control and modern development workflows
 </li>
 <li>
 Ability to work effectively in a collaborative, remote-friendly environment
 </li>
 <li>
 Strong problem-solving skills and a curiosity-driven mindset
 </li>
 <li>
 
 Permanent work authorization in the United States is required
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to transformer-based models or multimodal systems (e.g., vision + language)
 </li>
 <li>
 Familiarity with cloud platforms and containerized environments
 </li>
 <li>
 Experience supporting or deploying models in production
 </li>
 <li>
 Background working with experimentation, model tracking, or reproducible ML pipelines
 </li>
 <li>
 Interest in applying ML techniques to high-impact, real-world use cases
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 <ul>
 <li>
 Base salary starting at $110K
 </li>
 <li>
 Equity participation
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Fully remote role within the United States
 </li>
 <li>
 Emphasis on ownership, technical growth, and modern engineering practices
 </li>
 </ul>
 
 
 
 
 Location Notes
 
 
 This role is fully remote, but candidates must be based in San Francisco, New York City area, Seattle, Miami, or Austin, TX. The company is building teams in selective talent hubs to maintain convenient access to in-person collaboration when needed and to reduce exposure to future return-to-office mandates.
 
 
 
 
 
 At this time, the employer is unable to provide visa sponsorship or support visa transfers. Candidates must already have permanent work authorization in place.
 
</div>

Data Scientist, Computer Vision

Aarki

<div>
 
 Who are we?
 
 
 
 Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
 
 
 
 The role?
 
 
 
 We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
 </li>
 <li>
 Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
 </li>
 <li>
 Analyze the impact of integrating new data sources and features into our models.
 </li>
 <li>
 Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
 </li>
 <li>
 Document experiments, assumptions, and outcomes; maintain reproducibility
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or a related technical field.
 </li>
 <li>
 At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
 </li>
 <li>
 Experience with machine learning techniques such as regression, classification, and clustering.
 </li>
 <li>
 Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Strong grasp of probability, statistics, and data analysis principles.
 </li>
 <li>
 Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Familiarity with system programming languages including C++ and Rust is a plus.
 </li>
 <li>
 Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
 </li>
 <li>
 Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.
 </li>
 </ul>
</div>

Machine Learning Engineer

Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

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