2026 future talent program - discovery biologics - intern

software engineer

project engineer

ml engineer

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

<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

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

Workato

<div>
 
 About Workato
 
 
 
 Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
 
 
 Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today&rsquo;s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
 
 
 
 Why join us?
 
 
 
 Ultimately, Workato believes in fostering a
 
 flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 
 . We are driven by
 
 innovation
 
 and looking for
 
 team players
 
 who want to actively build our company.
 
 
 But, we also believe in
 
 balancing productivity with self-care
 
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 
 
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 
 
 
 Also, Feel Free To Check Out Why
 
 
 
 <ul>
 <li>
 Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
 </li>
 <li>
 Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
 </li>
 <li>
 Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
 </li>
 <li>
 Quartz ranked us the #1 best company for remote workers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are seeking a product-minded
 
 Software Engineer
 
 to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. You will also be responsible to:
 
 
 <ul>
 <li>
 Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development.
 </li>
 <li>
 Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions.
 </li>
 <li>
 Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team.
 </li>
 <li>
 Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.
 </li>
 <li>
 Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.
 </li>
 <li>
 Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.
 </li>
 <li>
 Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.
 </li>
 <li>
 Conduct code reviews and mentor team members to uphold high engineering standards.
 </li>
 <li>
 Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications / Experience / Technical Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
 </li>
 <li>
 3+ years of experience of professional software development experience, with a proven track record of shipping high-quality products.
 </li>
 <li>
 You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience.
 </li>
 <li>
 You have experience building developer-facing products, APIs, SDKs, or CLIs.
 </li>
 <li>
 You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models.
 </li>
 <li>
 Proven track record of deploying and maintaining ML services in production environments is a strong plus.
 </li>
 <li>
 Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms.
 </li>
 <li>
 LLMops/MLops experience is a strong plus, especially in developer-facing products.
 </li>
 <li>
 Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.
 
 
 </li>
 </ul>
 
 Soft Skills / Personal Characteristics
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills in English.
 </li>
 <li>
 Collaborative team player with a passion for empowering developers and improving developer experience.
 </li>
 <li>
 Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.
 </li>
 <li>
 Strong problem-solving skills and a continuous improvement mindset.
 
 
 </li>
 </ul>
 
 (REQ ID: 2242)
 
</div>

Software Engineer - Developer Products (AI)

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Braze

<div>
 At Braze, we have found our people. We&rsquo;re a genuinely approachable, exceptionally kind, and intensely passionate crew.
 
 
 We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity &ndash; inside and outside our organization.
 
 
 To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
 
 
 Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
 
 
 If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can&rsquo;t wait to meet you.
 
 
 
 What You'll Do
 
 
 
 As our customer base continues to grow with the excitement around BrazeAI, we&rsquo;re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
 
 
 <ul>
 <li>
 Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
 </li>
 <li>
 Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
 </li>
 <li>
 Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
 </li>
 <li>
 Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
 </li>
 <li>
 Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master&rsquo;s or PhD in a relevant technical discipline preferred
 </li>
 <li>
 Experience: 3&ndash;5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
 </li>
 <li>
 Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
 </li>
 <li>
 Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
 </li>
 <li>
 Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
 </li>
 <li>
 Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
 </li>
 <li>
 Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
 </li>
 <li>
 Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
 </li>
 <li>
 Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
 
 
 </li>
 </ul>
 For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $124,200 - $148,500/year with an expected On Target Earnings (OTE) between $138,000 - $165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.
 
 
 
 What We Offer
 
 
 
 Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment.
 
 
 
 Benefits
 
 
 
 From offering comprehensive benefits to fostering hybrid ways of working, we&rsquo;ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
 
 
 <ul>
 <li>
 Competitive compensation that may include equity
 </li>
 <li>
 Retirement and Employee Stock Purchase Plans
 </li>
 <li>
 Flexible paid time off
 </li>
 <li>
 Comprehensive benefit plans covering medical, dental, vision, life, and disability
 </li>
 <li>
 Family services that include fertility benefits and equal paid parental leave
 </li>
 <li>
 Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
 </li>
 <li>
 A curated in-office employee experience, designed to foster community, team connections, and innovation
 </li>
 <li>
 Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
 </li>
 <li>
 Employee Resource Groups that provide supportive communities within Braze
 </li>
 <li>
 Collaborative, transparent, and fun culture recognized as a Great Place to Work&reg;
 
 
 </li>
 </ul>
 
 About Braze
 
 
 
 Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.&trade; Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI&trade; allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
 
 
 The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 &ldquo;Best of Marketing and Digital Advertising Software Product&rdquo; in 2025.
 
 
 Braze was also named a 2025 Best Companies To Work For by U.S. News &amp; World Report, a 2025 America&rsquo;s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology&trade; by Great Place To Work&reg;, among other accolades. Braze is also proudly certified as a Great Place to Work&reg; in the U.S., the UK, Australia, and Singapore.
 
 
 The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, S&atilde;o Paulo, Singapore, Seoul, Sydney and Tokyo.
 
 
 
 BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
 
 
 
 At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
 
 
 Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience &ndash; regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .
 
 
 We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we&rsquo;d love to meet you.
 
 
 Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
</div>

Forward-Deployed Data Scientist

Giga

<div>
 
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A from Redpoint, YC, and other leading investors and and we have several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence.
 
 
 To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company.
 
 
 
 
 
 
 Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 </li>
 <li>
 YC Partners talking about GigaML(Endorsed by YC CEO Garry Tan)
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Impact: Be a key contributor to cutting-edge ML projects transforming industries.
 </li>
 <li>
 Growth: Thrive in a dynamic, high-ownership environment alongside top-tier talent.
 </li>
 <li>
 Innovation: Work with advanced tools and push technological boundaries.
 </li>
 <li>
 Autonomy: Drive your own initiatives and influence the company&rsquo;s technical direction.
 </li>
 </ul>
 
 
 
 
 
 About the Role
 
 
 
 We&rsquo;re seeking software engineers with hands-on experience in building and deploying LLM-based products from scratch. You should take pride in your work and write high-quality, scalable code. If you thrive in a fast-paced, high-ownership environment, we want to hear from you.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Build Product: Rapidly contribute to our Chat and Voice AI products, eventually owning your own product or product lines.
 </li>
 <li>
 Technical Leadership: Drive technical decisions and architecture design, shaping the foundation of our solutions.
 </li>
 <li>
 Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans.
 </li>
 <li>
 Ownership: Take full product ownership from ideation to launch, including integration into existing systems.
 </li>
 </ul>
 
 
 
 
 
 Who You Are / Must-Haves:
 
 
 <ul>
 <li>
 Startup Experience: Strong preference for candidates with prior startup experience. Former founders are especially valued for their entrepreneurial mindset and problem-solving skills.
 </li>
 <li>
 Prior SW Eng Experience: 2-8 years of hands-on software engineering experience with frontend, backend, or full-stack focus (a mix is ok).
 </li>
 <li>
 Educational Background: Ideally, candidates should have attended a college ranked in the top 20 in the United States, or the IITs in India, or other top ranked software engineering program.
 </li>
 <li>
 Backend Skills: Strong background in Python (Django experience is a plus).
 </li>
 <li>
 Frontend Skills: Proficiency in Next.js, React, and ShadCN.
 </li>
 <li>
 Cloud Platforms: Proficient with AWS or Google Cloud.
 </li>
 <li>
 Scalability: Familiarity with Kubernetes and Docker is a big plus.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits
 
 
 <ul>
 <li>
 Competitive Compensation: Base salary plus equity
 </li>
 <li>
 Catered lunch daily
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 All-you-can-drink coffee (kidding but not kidding, you know?)😉
 </li>
 <li>
 Medical, dental, and vision coverage
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 San Francisco (100% In-Office)
 
 
 
 Experience:
 
 2+ years
 
 
 
 Salary:
 
 $150K - $400k &bull; Offers Equity
 
 
 ---
 
 
 
 
 
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
</div>

Software Engineer

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