335 Machine Learning jobs in Boston

What We Do

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

Role at a Glance

As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide.

Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before.

What you will do

• Develop novel (supervised and unsupervised) ML models to help solve important business problems, becoming an expert in unique domains like ultrasonic digital signal processing for non-destructive testing.

• Roll out models to production by developing integrations with mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration.

• Help Gecko identify new problems we could tackle with AI/ML (such as defect detection, automated repair planning, and more) and help cultivate necessary training sets to start solving those problems.

• Help Gecko make its digital twins as realistic and as true to real world physics as possible

Technologies We Use

• Python, PyTorch, Numpy

• Docker, GCP, Cloud Run, Batch, Collab

• Ultrasonic DSP

We use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.

About You

Required Skills

• 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning role

• Practical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal data

• Ability to read and implement ML papers

• Knowledge of at least 1 machine learning framework (i.e. PyTorch) and has seen at least one ML model in production

• Familiarity with MLOps concepts

• A strong sense of intellectual curiosity, and the desire to dive deep into exploratory projects alongside production ready deployments

• Preference for projects with high ownership, and the ability to work effectively both autonomously and on teams

• Desire to have a high impact at a fast-moving startup as a key contributor on a new project and fast-growing team

• Exceptional communication skills and commitment to receiving and providing continuous feedback

• Bachelor’s degree in Computer Science or closely related field (or equivalent experience)

Preferred Skills

• Experience with PyTorch

• Experience with MLOps tools such as MLFlow

• Knowledge of signal processing techniques

• Machine Learning work in ultrasonic signals, audio signals, or another unconventional domain

• Machine Learning work in simulating physical phenomena

• Experience setting up and interpreting the results of FEA/ CFD simulations and the like.

• Evidence of clear impact and growth in a fast-growing startup environment

Who We Are

At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off.

Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.

Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

$150K – $220K

This range is representative of the starting base salary for this role at Gecko based on the current available market data; it does not include bonuses, equity, or other salary components. Where a candidate falls in the range will be determined based on job-related factors such as relevant experience, skills, and location. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a Machine Learning Scientist to help build and maintain our cutting-edge machine learning pipeline and the critical tools and infrastructure that support it. This role entails a particular focus on deep neural network architectures, model training, and inference-time optimization. You will work on a variety of customer-focused projects throughout the product development life cycle, from initial proofs of concept through robust production-ready implementations. You'll work in a small group of machine learning scientists collaborating with the core side software group, and others in our cross-functional team.

The ideal candidate will have 2-4 years of professional experience designing and implementing high-performance software products in a fast-paced production environment. We are looking for hands-on work experience in several of the following areas: vision-based deep learning, neural network architecture design, edge deployment, traditional computer vision, 3D graphics and simulation, robotics, MLOps, and full-stack development.

Primary Responsibilities:

• Expand the capabilities of our machine learning model architectures with new capabilities and performance-improving features.
• Optimize the efficiency of our machine learning models at training and inference time.
• Design, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models.
• Research cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack.
• Contribute to a robust and scalable product pipeline.

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred.
• 2 years of professional software development experience.
• Experience with deep neural networks for computer vision applications.
• Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV.
• Experience with software development and deployment in a Linux environment.
• The ability to design, prototype, and evaluate new features in our machine learning models.
• Experience with researching, implementing, and improving upon cutting-edge machine learning technology from academia.
• A solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred.
• Experience with full-stack software development preferred.
• Experience with cloud infrastructure, CI/CD pipelines, and frameworks like AWS EC2 preferred.
• Strong mathematical and analytical skills.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively on a cross-functional team.
• Strong attention to detail.

• AI Agent Development
  • Design and build intelligent agent systems for data integration, literature mining, and scientific reasoning
  • Create automated workflows that connect diverse biological resources and support discovery decisions
  • Develop scalable AI solutions that enhance research productivity and scientific insights
• Machine Learning & Data Science
  • Apply statistical methods to evaluate and prepare complex biological datasets (single-cell or bulk RNA-seq, phenotypic data, etc.) for ML applications
  • Build, train, and optimize models for high-dimensional biological data
• Scientific Collaboration
  • Partner with biology, chemistry, and technology teams to translate research questions into ML solutions
  • Communicate technical concepts clearly to diverse scientific audiences
  • Contribute to roadmap planning and strategic technical decisions

• PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years of relevant industry experience
• Strong programming skills in Python with experience in ML frameworks
• Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, etc.)
• Proven track record in deep learning model development and deployment
• Strong mathematical foundation in statistics and machine learning
• Excellent communication skills and ability to work in interdisciplinary teams

• Experience with large language models (LLMs)
• Experience with MLOps tools and practices
• Experience designing and implementing multi-agent systems and reasoning frameworks

• Push Boundaries: We create a legacy with breakthrough science in service of patients.
• Inject Energy: We build strengths from different perspectives and tell it like it is
• Own it: We transcend our job descriptions and relentlessly follow through on our commitments.
• Go all out: We work quickly and with conviction.

Bracebridge Capital, LLC is a leading hedge fund manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 160 employees operate from our office located in Boston's historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm's greatest asset is the people who work here.

Bracebridge Capital is seeking a full-stack AI/ML Engineer to join the Machine Learning team who will lead and support critical projects aimed at enhancing productivity, automating internal workflows, and deploying machine learning systems at scale. This individual will work on highly-visible initiatives such as managing the Founder's e-comms workflows and also serve as a bridge between the machine learning team and our IT and software teams. The ideal candidate is deeply technical, highly autonomous, and pragmatic about building modern AI tools in a highly secure, non-cloud environment.

Responsibilities
• Design and maintain on-prem NLP and ML tools, including a next gen communications integration system, which can automatically triage, prioritize, summarize, and route the Founder's high-volume of electronic communications
• Build intelligent agents to suggest and draft email replies, escalate urgent messages, and integrate with Slack and tasking systems.
• Serve as the technical liaison between the ML team, IT and software development teams.
• Build and manage web portals, dashboards, API interfaces, servers and databases that expose ML outputs, alerts, and data summaries to non-technical users.
• Document workflows and integrate tools into existing operational systems with clear interfaces and security controls.
• Own and operate CI/CD pipelines and containerized environments (Docker, Kubernetes optional) for ML systems and dashboards. Enforce engineering best practices across the ML development lifecycle: version control, testing, model validation, monitoring.
• Monitor and maintain ML infrastructure and ensure smooth operation of GPU/CPU servers, model runtimes, databases, job schedulers, logs and proactively identify and resolve system issues before they impact users.

Qualifications
• Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Math, or related field
• Minimum of 3 years of professional experience in ML engineering or applied NLP, ideally in a high-stakes, low-latency environment
• Proficiency in Python and modern ML tooling (e.g., PyTorch, spaCy, Hugging Face, LangChain)
• Solid backend engineering experience (e.g., FastAPI, Flask, REST APIs, WebSockets)
• Experience with DevOps: CI/CD (e.g., Azure DevOps, GitHub Actions, Jenkins), Docker, version control
• Experience managing on-prem infrastructure, including job orchestration, storage, and process scheduling
• Familiarity with email parsing (e.g., Outlook APIs, IMAP), document summarization, classification, and routing logic
• Strong communications skills and an eagerness to collaborate across multiple teams within the firm
• Ability to successfully work error free in a fast paced environment with strong understanding of prioritization.

iO Associates are delighted to be working with this Boston based biotech that are hiring for a talented Machine Learning Scientist to join their innovative team.

Company Overview: Our client, a biotech operating in the genetic medicine space, is dedicated to developing cutting-edge RNA-based therapeutics for a wide range of diseases. Committed to precision and innovation, they are on a journey to transform the landscape of genetic medicines and make a significant impact on human health.

Position Summary: As a Machine Learning Scientist, you will play a pivotal role in advancing RNA-based therapeutics by developing state-of-the-art machine learning models. Collaborating closely with the scientific team, you will design and implement cutting-edge algorithms to drive drug design programs and enhance the understanding of RNA biology. If you are a skilled researcher with a passion for pushing the boundaries of machine learning then get in touch!

Key Responsibilities:

• Develop and implement advanced transformer-based machine learning architectures for drug design.
• Collaborate with laboratory scientists to extract key insights into RNA biology through modeling.
• Work with IT and Engineering teams to deploy machine learning solutions.
• Design methodologies to enhance the usability and interpretability of complex models.

• PhD with 0-3 years of experience or 5+ years of experience with an MS in AI, computer science, or related fields.
• Knowledge of structural biology/chemistry and the drug development process.
• Expertise in transformer architectures such as T5, BERT, GPT, PaLM2.
• Proven experience in machine learning algorithm development and innovation.
• Strong background in deep learning frameworks
• Familiarity with MLOps platforms

• Experience in distributed training strategies.
• Exposure to ML model lifecycle processes.

Base is planning to bring a million developers and a billion users onchain. We need your help to make that happen.

Base’s mission is to build a global onchain economy that increases innovation, creativity, and economic freedom.

Spindl’s mission is to help pay for that new onchain economy by offering developers both incentives to monetize their existing users, and a reliable means to acquire new ones. Ads paid for the first version of the offchain Internet; Spindl (now part of the Base team) is how we help pay for the new onchain one.

Base Ads/Spindl is building the first natively onchain advertising product that offers full-funnel attribution and analytics, and a transparent and permissionless two-sided ads marketplace. We believe an open ads system can help developers grow, get creators and consumers apps paid, and ultimately replace the closed, extractive ad systems of the past.

Our goal is not merely to offer comparable sophistication to the legacy internet marketing world of Facebook and Google, but to surpass it with the unique affordances of the blockchain: transparency, seamless payment rails, better privacy, and a shared consensus reality.

We are looking for a Staff Machine Learning & Infrastructure Engineer to join the Base Ads team to enable and accelerate the success of Spindl and its soon-to-be launched protocol Flywheel. You’ll be the first MLE on the team, and responsible for building out our ranking system from the ground up. You’ll be in charge of picking the tools, harnessing a diverse set of internal and external data sources, working with Data Science on feature generation, and integrating models directly in our ad serving infrastructure. If Base is a fast-moving startup within Coinbase, imagine Spindl as an even earlier-stage team inside that startup. You will have impact and ownership from day one.

What you'll be doing:

• Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout Base. These challenges encompass areas such as feed ranking, recommendation systems, targeting, fraud detection, chatbots, and blockchain mining.

• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.

• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Base, fostering a culture of widespread ML utilization.

What we look for in you:

• 7+yrs of industry experience as a machine learning and software engineer

• Experience building & deploying backend systems at scale with a focus on data processing/machine learning/analytics.

• Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.

• Curiosity for crypto ecosystem and onchain data

Nice to haves:

• BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.

• Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive.

• Experience with Python.

• Experience with model interpretability, responsible AI.

• Experience with data analysis and visualization.

Position ID: GBML06US

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).

Pay Range:

$218,025—$256,500 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

Commitment to Equal Opportunity

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations(at)coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

AI Disclosure

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com.

Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.

With our innovative platform, advertisers enjoy unprecedented flexibility-whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.

Life At Cognitiv

Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE :

- Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture.

- Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success.

- Inclusiv - Diversity and inclusion are more than just words to us-they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected.

- Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn.

- Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed.

- Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success.

We are seeking a Machine Learning Research Scientist with specialized expertise in advanced deep learning architectures and Large Language Model (LLM) applications. As a key member of our adtech research team, you will contribute to the development and optimization of our real-time bidding (RTB) algorithms and integrate LLM technologies into our adtech solutions. Your role will focus on participating in the creation of robust training pipelines and advancing our algorithmic strategies. This position is ideal for someone who is passionate about deep learning and eager to explore innovative technologies in feature enhancement and model architecture. You will have the opportunity to dive into the dynamic world of LLMs and contribute to shaping the future of the adtech industry. We are looking for candidates who are excited about working in a fast-paced environment and are ready to take on challenging projects in adtech. Join our team and grow with us in this transformative and collaborative role.

This position will be located in Boston, MA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Responsibilities

• Engage fully in the AdTech modeling lifecycle under the supervision of a Senior Researcher/Manager, encompassing problem framing, dataset construction, defining objective functions and architectures, model training, and results visualization and analysis.
• Show proficiency in Machine Learning fundamentals, including a deep understanding of assessment and best practices in Deep Neural Network modeling. Apply these techniques effectively in daily analysis and model iteration to produce results that are both reliable and reflective of accurate data interpretation and business context.
• Develop expertise in Cognitiv's ML operational tools, demonstrating fluency in Python and SQL for data manipulation, along with proficiency in PyTorch for DNN modeling. Commit to learning and applying best engineering practices for maintaining code cleanliness and adhering to standards. Independently revise code following reviews and establish a training pipeline for streamlined end-to-end model delivery and updates, working collaboratively with technical teams as required.
• Effectively synthesize and present research findings in clear, concise formats. Work in collaboration with science team members to enhance skills in data preprocessing, model development, and analysis, while efficiently managing multiple priorities to consistently meet project deadlines.
• Provide actionable insights that lead to measurable business improvements. With some guidance, identify and prioritize projects, independently scope and execute small to medium-sized projects, and actively seek opportunities to increase business impact.

• Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.
• 1-3 years of industry-level Python programming experience.
• Solid understanding of deep learning architectures (e.g., transformers), frameworks (e.g., PyTorch), and related libraries.
• Familiarity with a range of machine learning techniques (e.g., CTR modeling, ads ranking, XGBoost, PCA).
• Exposure to or interest in Large Language Models with willingness to learn and grow in this area.
• Basic knowledge of distributed computing, cloud platforms, and big data technologies.
• Proficiency in software engineering principles, including algorithms and data structures.
• Strong written and verbal communication skills, with an emphasis on collaboration, organizational ability, and the capacity to negotiate effectively.

• Prior experience in AdTech and RTB systems.
• Strong C++ programming skills are a significant advantage.

• $160,000-$210,000 Base Salary + Equity

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Required Skills:

Software Engineer, Machine Learning Responsibilities:

1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.

2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.

3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.

4. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.

5. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.

6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.

7. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

8. Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Master's degree(or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation

2. Requires three years of experience in the following:

3. 1. -Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems

4. 2.- Translating insights into business recommendations

5. 3.- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark

6. 4.- Developing and debugging in C, C++, and Java

7. 5.- Scripting languages: Perl, Python, PHP, or shell scripts

8. 6.- C, C++, C#, or Java

9. 7.- Python, PHP, or Haskell

10. 8.- Relational databases and SQL

11. 1. -Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

12. 10.- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting

13. 11.- Build highly-scalable performant solutions

14. 12.- Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction

15. 1. -Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
16. 1. -Distributed systems

Public Compensation:

$250,338/year to $257,848/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 140,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Machine Learning Tech Lead at Klaviyo , you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, language modeling, recommender systems, and more to integrate artificial intelligence into our product and bring customers value. You will be a technical leader within the organization, helping to set the standard for excellence and amplifying your own impact by mentoring other team members on technical skills. You should have broad and in-depth experience in machine learning or data science, especially in the domain of deep learning, recommender systems, NLP, generative AI, or related areas.

Things you'll do & make a difference

• Develop and execute comprehensive technical strategies that align with Klaviyo's business goals, ensuring products are not only exceptional but also aligned with the broader vision for a reliable and user-friendly AI/ML platform.
• Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
• Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
• Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
• Technically lead & coach a diverse team of AI professionals, including data scientists, machine learning engineers, and research scientists. Engage with external and internal stakeholders to understand their needs, translating these into AI-driven roadmaps and solutions that add significant value to customers and the business.
• Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo's ecosystem.

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
• Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
• Demonstrated technical leadership in leading high-performing engineering teams and mentoring junior machine learning engineers.
• Exceptional communication skills, capable of collaborating with stakeholders from various backgrounds to translate the business / product roadmap into AI-driven technical roadmaps & solutions and add significant value to customers and the business.
• Deep understanding of the latest AI technologies and their application in business contexts, including deep learning, recommendation systems, NLP, generative AI, or related areas.

• Experience working in B2B businesses and interacting with customers directly
• Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions that impact the business.