Head of Machine Learning
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We have content: description (intro) could be "About the role" maybe? Actually "Role As Head of Machine Learning..." is description of role. Could put that under About the role. Then Responsibilities section present. Requirements section present. Qualifications? Not separate; maybe combine with Requirements. Skills? Not explicit separate list; could be under Requirements. Benefits: they list perks: Employer paid group health insurance, 401(k) match, flexible PTO, regular company-wide in-person events, home office stipend, etc. So Benefits section. Pay: compensation range given $210,000-$260,000/year + equity + benefits. So Pay section. Schedule: not mentioned; no schedule info. So omit Schedule. Also maybe include "Qualifications" but we have Requirements covering experience etc. Could still include Qualifications if we have content like education: Masters/PhD. But that's in Requirements. To avoid thin sections, we can combine Requirements and Qualifications into one? But rules: use headings only when posting has real specific content for it. We have content for Requirements. For Qualifications, we could treat as same as Requirements but maybe we can omit Qualifications heading. Similarly Skills: not explicit separate list; could be omitted. Benefits we have. Pay we have. So sections: About the role, Responsibilities, Requirements, Benefits, Pay.
We need to use for each heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not repeat job title as heading. Not include Job ID etc. Remove boilerplate.
We need to preserve all substantive information. Let's extract.
Intro paragraph: "SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details. At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them. We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity. We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India."
That's about the company; could be About the role? Actually About the role could be the description of the role: "Role As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)"
We'll put that under About the role.
Responsibilities list: bullet points.
Requirements list: bullet points.
Benefits list: bullet points.
Pay: prose.
We must not include schedule.
Let's craft HTML.
We need to ensure we don't include any markdown fences. Just raw HTML.
Let's produce:
About the role
...
Responsibilities
- Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
- Act as a technical mentor that can dive deep and provide detailed direction.
- Lead planning, resourcing and communications with senior leadership, product and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
Requirements
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 4-7 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex / high profile business problems with DS / ML solutions.
- Experience in communicating outcomes / progress to senior management / stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc).
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
- Candidates must be legally authorized to work in the United States and must live in the United States.
Benefits
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
Pay
Compensation $210,000-$260,000/year + equity + benefits
We should also include maybe mention of equity? Already in Pay.
Check for any boilerplate: we removed "We want SentiLink to be the best place you've ever worked." Actually that's part of intro; we kept it in About the role? We placed it in About the role? Actually we placed company intro in About the role? We need to decide: About the role should contain role description, not company overview. But we can include company overview as part of About the role? The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So About the role likely expects description of the role, not company overview. However we have company overview content that is substantive; we could put it under About the role as well, but maybe better to include it as part of About the role (since it's about the company and role). The instruction says "do NOT repeat the job title as a heading (the page already shows it)". So About the role heading is fine.
We need to preserve all substantive information; we must not drop company overview. So we can include it in About the role paragraph.
Thus About the role paragraph will contain both company overview and role description. That's okay.
Let's craft About the role paragraph:
SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details. At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them. We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity. We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. Role As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking
- for any list of duties/requirements/benefits. Use
for prose. We must not repeat job title as heading. Not include Job ID etc. Remove boilerplate. We need to preserve all substantive information. Let's extract. Intro paragraph: "SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details. At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them. We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity. We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India." That's about the company; could be About the role? Actually About the role could be the description of the role: "Role As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)" We'll put that under About the role. Responsibilities list: bullet points. Requirements list: bullet points. Benefits list: bullet points. Pay: prose. We must not include schedule. Let's craft HTML. We need to ensure we don't include any markdown fences. Just raw HTML. Let's produce:
About the role
...
Responsibilities
- Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
- Act as a technical mentor that can dive deep and provide detailed direction.
- Lead planning, resourcing and communications with senior leadership, product and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
Requirements
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 4-7 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex / high profile business problems with DS / ML solutions.
- Experience in communicating outcomes / progress to senior management / stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc).
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
- Candidates must be legally authorized to work in the United States and must live in the United States.
Benefits
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
Pay
Compensation $210,000-$260,000/year + equity + benefits
We should also include maybe mention of equity? Already in Pay. Check for any boilerplate: we removed "We want SentiLink to be the best place you've ever worked." Actually that's part of intro; we kept it in About the role? We placed it in About the role? Actually we placed company intro in About the role? We need to decide: About the role should contain role description, not company overview. But we can include company overview as part of About the role? The instruction: "usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So About the role likely expects description of the role, not company overview. However we have company overview content that is substantive; we could put it under About the role as well, but maybe better to include it as part of About the role (since it's about the company and role). The instruction says "do NOT repeat the job title as a heading (the page already shows it)". So About the role heading is fine. We need to preserve all substantive information; we must not drop company overview. So we can include it in About the role paragraph. Thus About the role paragraph will contain both company overview and role description. That's okay. Let's craft About the role paragraph:
SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details. At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them. We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity. We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. Role As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking