Careers

The Platform Success team sits at the nexus of cutting-edge research and real-world application, ensuring the success of developers and enterprises in creating innovative, impactful, and scalable production applications using our platform. We provide guidance and support to customers, helping them derive maximum benefit and adoption from deploying our powerful models, sometimes pushing the boundaries of existing models. Our customer base spans diverse backgrounds and levels of maturity, from early-stage startups to established global enterprises.

We’re seeking a motivated and innovative ML software engineer to join us as our inaugural AI Engineer. In this role, you’ll conceive, define, and train custom models to tackle previously unsolvable problems, delivering substantial value for our customers and their clients. You’ll have the chance to pioneer new models across various domains, extending beyond the limitations of existing foundational models for our most strategic customers. As the technical authority for the model customization program, you’ll lead the way in discovering and delivering new capabilities and opportunities for our fine-tuning API. Collaboration with Applied Research, Product, and Engineering teams will be key, with oversight from the Head of Platform Success.

Your responsibilities will include:

• Developing and training tailored models to drive business impact and innovation for our top-tier customers.
• Proactively identifying product gaps in our fine-tuning API and providing quality feedback to the Product team.
• Serving as the primary technical expert for the model customization program.
• Scaling the program through best practices, knowledge sharing, documentation, tool creation, and internal technical resources.
• Acting as a liaison between Applied Research, GTM, Product, and Engineering, particularly in exploring new model techniques for customer use cases.
• Exploring novel applications of our foundational models across different domains.

You may excel in this role if you:

• Possess 7+ years of software engineering and ML experience.
• Have experience building prototypes on our API platform.
• Have led complex technical projects with multiple stakeholders.
• Identify opportunities to maximize customer value through our API.
• Take ownership of problems and are willing to acquire new knowledge to ensure success.
• Demonstrate humility, empathy, and a desire to assist others.
• Enjoy engaging with both technical and non-technical customers.
• Can handle multiple projects, prioritize effectively, and adapt to change.
• Thrive in dynamic environments and embrace ambiguity.
• Advocate for diversity of thought.
• Communicate effectively.
• Are passionate about ML, data science, and democratizing AI technologies.

We’re in search of a Data Engineer to spearhead the development of our data pipelines, critical for driving analyses, informing business decisions, fostering product growth, and safeguarding against malicious activities. If you’re passionate about leveraging data to create impactful solutions and eager to contribute to our team, we’re excited to hear from you. This role offers the opportunity to collaborate closely with the creators of NextMigrant, assisting in the training of new models for our users. As we rapidly expand, data-driven insights are paramount, and your role will be instrumental in shaping our future. Join us and help shape the trajectory of NextMigrant!

In this position, you will:

• Design, construct, and oversee our data pipelines to seamlessly integrate user event data into our data warehouse.
• Develop standardized datasets to monitor key product metrics such as user growth, engagement, and revenue.
• Collaborate with various teams including Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data requirements and deliver effective solutions.
• Implement resilient and fault-tolerant systems for data ingestion and processing.
• Contribute to data architecture and engineering decisions, leveraging your extensive experience and expertise.
• Ensure data security, integrity, and compliance with industry and company standards.

You may excel in this role if you:

• Possess 3+ years of experience as a data engineer and a total of 8+ years of software engineering experience (including data engineering).
• Demonstrate proficiency in at least one programming language commonly used in Data Engineering, such as Python, Scala, or Java.
• Have experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).
• Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar frameworks.
• Have a solid understanding of Spark and the ability to write, debug, and optimize Spark code.

As an early member of our Data Scientist team within the Applied Product division, you’ll play a pivotal role in instilling a culture of data-driven product development, either for consumer products or our developer platform, at NextMigrant. Your responsibilities will include defining key performance indicators, crafting initial A/B tests, and establishing dashboards that serve as the definitive source of truth for the entire company’s product inquiries. Crucially, you’ll be a central figure in the product development team, contributing to the creation of our primary offerings. 

In this capacity, you will:

• Integrate seamlessly with the product development team as a valued collaborator, uncovering novel ways to enhance the product and stimulate growth.
• Define and interpret A/B tests to address pivotal questions regarding the impact of model and user experience alterations on our product.
• Foster a data-centric product development ethos by spearheading the delineation, monitoring, and operationalization of metrics at the feature, product, and organizational levels.
• Create and disseminate dashboards, reports, and other tools to empower the team and organization to autonomously address product-related data inquiries.

You may excel in this role if you possess:

• Over 5 years of experience in a quantitative capacity, navigating environments characterized by significant ambiguity, ideally having served as an inaugural data scientist or product analyst within a rapidly growing product company or research organization.
• Demonstrated expertise in proposing, designing, and executing rigorous experiments yielding clear insights and actionable product recommendations, utilizing SQL and Python.
• Proven ability to define, implement, and operationalize new metrics at the feature and product levels from inception.
• Exceptional communication skills, with a track record of effectively conveying insights to product managers, engineers, and executives alike.
• Strategic acumen extending beyond traditional statistical significance testing paradigms.

We’re seeking an experienced machine learning engineer to tackle retrieval and search challenges across our API. With the evolution of the AI landscape, retrieval and search have emerged as pivotal applications for our models, and we’re committed to delivering top-notch search-based experiences for our users. In this role, you’ll be at the forefront of our efforts in retrieval and search, with the potential to impact millions of end users.

Your responsibilities will include:

• Collaborating closely with our research team to develop retrieval and search algorithms and methodologies, addressing challenges in areas such as document search, enterprise search, knowledge retrieval, and web-scale search.
• Implementing these search methodologies into production.
• Exploring innovative research topics in retrieval and search that could shape our product strategy in the medium to long term.
• Working alongside researchers, engineers, product managers, and designers to introduce new features and research capabilities.
• Contributing to the creation of a diverse, equitable, and inclusive culture that fosters radical candor and challenges groupthink.

You may excel in this role if you:

• Bring substantial experience in building and maintaining production machine learning systems.
• Have previous experience with vector databases, search indices, or other data stores tailored for search and retrieval purposes.
• Have prior experience in constructing and refining internet-scale search systems.
• Demonstrate the ability to take ownership of problems from start to finish, and are willing to acquire new knowledge as needed to accomplish tasks.
• Thrive in fast-paced environments where tasks may be loosely defined and competing priorities or deadlines are present.

We’re in search of a proactive engineer who thrives on crafting innovative products within a dynamic and rapidly evolving setting. In this position, you’ll play a crucial role in introducing our expansive language models to millions of global users. You’ll directly engage with users to identify and develop the features they desire most. Additionally, you’ll collaborate closely with the research teams responsible for our core models, contributing to their ongoing enhancement efforts. Your involvement will be instrumental in propelling these technologies forward, reaching an even broader audience.

In this role, your responsibilities will include:

• Taking full ownership of the development process for new customer-facing features and product experiences within the NextMigrant API.
• Engaging with users to comprehend their challenges and devising tailored solutions to address them effectively.
• Collaborating with the research team to gather relevant feedback and refine their latest models iteratively.
• Working alongside a diverse, cross-functional team consisting of engineers, researchers, product managers, designers, and operations personnel to deliver cutting-edge products.

Your background should ideally encompass:

• Over 5 years of pertinent engineering experience within tech and product-centric organizations.
• Proficiency in JavaScript, React, and other web technologies.
• Competence in at least one backend language (we predominantly use Python).
• Some familiarity with relational databases such as Postgres or MySQL.
• A keen interest in AI/ML and Safety (direct experience is not mandatory).
• The ability to navigate swiftly in an environment where objectives may be loosely defined and competing priorities or deadlines are common.

Responsibilities:

• Create top-notch written content across various platforms including blogs, websites, social media, and marketing materials.
• Conduct research on industry-related topics and trends to generate fresh and innovative content ideas.
• Craft clear, engaging, and informative articles, blog posts, case studies, and whitepapers.
• Collaborate closely with marketing and design teams to ensure content aligns seamlessly with brand voice and style guidelines.
• Optimize content for maximum SEO impact, readability, and user engagement.
• Edit and proofread content meticulously to maintain accuracy, consistency, and adherence to editorial standards.
• Remain abreast of industry best practices and emerging trends in content writing and digital marketing.

Qualifications:

• Bachelor’s degree in English, Journalism, Communications, Marketing, or a related field.
• Demonstrated experience as a content writer, copywriter, or in a similar role.
• Exceptional writing and editing abilities, with a firm grasp of grammar, punctuation, and style.
• Capacity to tailor writing for diverse audiences, adapting tone and style accordingly.
• Strong research skills and the capability to simplify complex information into concise, comprehensible content.
• Familiarity with SEO principles and best practices.
• Proficiency in content management systems (CMS) and digital publishing platforms.
• Keen attention to detail and the ability to meet deadlines in a fast-paced environment.
• Creativity, curiosity, and a genuine passion for storytelling.

Additional Preferred Skills:

• Proficiency with graphic design tools such as Adobe Creative Suite (Photoshop, Illustrator).
• Basic knowledge of HTML and CSS.
• Understanding of content marketing strategies and tactics.
• Familiarity with analytics tools for measuring content performance and making data-driven decisions.

Responsibilities:

• Formulate and execute social media strategies to enhance brand visibility, engagement, and traffic across diverse platforms such as Facebook, Twitter, LinkedIn, Instagram, and TikTok.
• Develop and curate captivating content, spanning text, imagery, videos, and infographics, resonating with the target demographic and reflecting brand ethos and objectives.
• Strategize and implement social media initiatives, promotions, and competitions to attract and retain followers, extend reach, and drive conversions.
• Monitor and assess social media performance metrics, track key performance indicators (KPIs), and derive insights to refine strategy and content efficacy.
• Stay abreast of evolving social media trends, best practices, and algorithmic shifts, proposing innovative strategies to engage and captivate audiences.
• Oversee social media advertising campaigns, encompassing budget allocation, audience targeting, ad creation, and performance optimization.
• Engage with followers, promptly address comments and messages, and cultivate positive interactions within the online community.
• Collaborate cross-functionally with marketing, content, design, and customer support teams to ensure brand messaging and consistency across all channels.

Qualifications:

• Bachelor’s degree in Marketing, Communications, Business, or a related field.
• Demonstrated track record as a social media marketer or manager, with proven success in elevating social media presence and achieving tangible results.
• Deep understanding of various social media platforms, their respective demographics, and optimal practices for content creation, dissemination, and engagement.
• Exceptional writing, editing, and communication skills, adept at crafting compelling and tailored copy for diverse platforms and audiences.
• Proficiency in social media management and analytics tools (e.g., Hootsuite, Buffer, Sprout Social, Google Analytics) for scheduling, performance tracking, and insights extraction.
• Experience with social media advertising platforms (e.g., Facebook Ads Manager, LinkedIn Campaign Manager), coupled with a grasp of ad targeting, bidding, and optimization.
• Analytical prowess, capable of interpreting data, extracting actionable insights, and making data-driven decisions to refine campaign effectiveness.
• Creative thinking and problem-solving aptitude, with a penchant for exploring novel concepts and experimenting with content formats and tactics.
• Ability to thrive both independently and collaboratively in a dynamic environment, adept at managing multiple projects and deadlines efficiently.
• Keen eye for visual aesthetics and design principles, with bonus proficiency in basic graphic design and familiarity with photo and video editing tools.

Responsibilities:

• Aid the operations team by analyzing data and creating reports to track performance effectively.
• Contribute to the identification of process inefficiencies and suggest potential solutions for enhancement.
• Engage in cross-functional projects to broaden your understanding of different facets of operations management.

Qualifications:

• Currently enrolled in a degree program related to Business, Operations Management, or a similar field.
• Possess strong analytical and problem-solving abilities.
• Proficient in Microsoft Excel and other tools for data analysis.
• Exhibit excellent communication and interpersonal skills, facilitating effective collaboration within the team.

Responsibilities:

• Support in gathering, preprocessing, and shaping features for machine learning endeavors.
• Gain proficiency in machine learning algorithms through mentorship from senior colleagues.
• Play a part in crafting and assessing AI prototypes and proof-of-concepts.

Qualifications:

• Enrolled in a program related to Computer Science, Data Science, or a related field.
• Fundamental grasp of machine learning principles and algorithms.
• Proficiency in programming languages like Python, R, or MATLAB.
• Display eagerness to learn and actively contribute to practical projects.